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Paper Citation Record · LEDGER

BiVM: Accurate Binarized Neural Network for Efficient Video Matting

As of 19 August 2026, this Paper Citation Record lists 100 of 106 outbound references and 0 inbound Pith citation observations for arXiv:2507.04456.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.04456 v1

Coverage vector

measured 100 of 106 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:54:35.970434Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 106 outbound references displayed

  • verified exact7
  • verified fuzzy51
  • unresolved42
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 59285fd8-ba8d-4750-864a-288b7c8bceed · outbound

This paper cites Universally quan- tized neural compression.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Universally quan- tized neural compression

Reference 1

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Observation 92060534-afa0-4958-a976-39644da814c2 · outbound

This paper cites De- signing effective inter-pixel information flow for natural image matting.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting De- signing effective inter-pixel information flow for natural image matting

Reference 2

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Observation f3ef47ef-ba16-43ff-981a-36bd0ccb839f · outbound

This paper cites Binarybert: Pushing the limit of bert quantization.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Binarybert: Pushing the limit of bert quantization

Reference 3

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Observation e7e08229-9337-4c47-9135-bc349f655e98 · outbound

This paper cites A geodesic framework for fast interactive image and video segmentation and matting.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting A geodesic framework for fast interactive image and video segmentation and matting

Reference 4

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Observation 15782029-f697-4f50-a8f3-fba598f9c57f · outbound

This paper cites Proxquant: Quantized neural networks via proximal operators.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Proxquant: Quantized neural networks via proximal operators

Reference 5

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Observation a76a7ab3-e3f7-4134-bfd8-d7a33cd0705b · outbound

This paper cites Aciq: Analytical clipping for integer quantization of neural networks.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Aciq: Analytical clipping for integer quantization of neural networks

Reference 6

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Observation 3da53970-e406-40f0-b8bf-f37aabfb23fd · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 7

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Observation 425c566f-f430-490c-9b40-232b0da78187 · outbound

This paper cites MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy?.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy?

Reference 8

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Observation fe679b3f-79c4-4d9d-abd0-27f2e2c9a6ee · outbound

This paper cites Hierarchical binary cnns for landmark localization with limited re- sources.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Hierarchical binary cnns for landmark localization with limited re- sources

Reference 9

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Observation cf7fda53-e64e-46c3-a062-a63fc5989a04 · outbound

This paper cites XNOR-Net++: Improved Binary Neural Networks.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting XNOR-Net++: Improved Binary Neural Networks

Reference 10

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Source-reported events for the cited work

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Observation 0d6e43ff-c64d-426a-9dcf-7bdb325b99a8 · outbound

This paper cites Binarized spectral compres- sive imaging.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Binarized spectral compres- sive imaging

Reference 11

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Observation 762df132-1f6e-4c67-ad31-8ea64ea96821 · outbound

This paper cites Deep learning with low precision by half-wave gaussian quantization.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Deep learning with low precision by half-wave gaussian quantization

Reference 12

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Observation 90722fca-783f-4dd7-b9a0-e6786f80558c · outbound

This paper cites Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs

Reference 13

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Observation db9e9f98-30fe-49d3-9e99-5839c7b68f88 · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 14

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Observation d22b7d1a-e8a3-483f-9514-43ffbb295e93 · outbound

This paper cites Semantic human matting.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Semantic human matting

Reference 15

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Observation 62ec5acf-baa8-474e-aaf4-60582a68dd49 · outbound

This paper cites Knn matting.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Knn matting

Reference 16

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Observation 3cd03c29-4287-4c34-9f57-0b7f71c4891c · outbound

This paper cites Low-bit quantization of neural networks for effi- cient inference.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Low-bit quantization of neural networks for effi- cient inference

Reference 17

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Observation e18a3b04-1a5d-4799-bf8f-52395360b5ba · outbound

This paper cites A bayesian approach to digital matting.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting A bayesian approach to digital matting

Reference 18

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Observation 800b705e-da33-4ddf-bf26-9e8efe65a76c · outbound

This paper cites Binaryconnect: Training deep neural networks with binary weights during propagations.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Binaryconnect: Training deep neural networks with binary weights during propagations

Reference 19

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Observation 71f67bc9-dfa3-4acc-bbef-7522d29f1fe6 · outbound

This paper cites A tutorial on the cross-entropy method.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting A tutorial on the cross-entropy method

Reference 20

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Observation f2bc0518-036e-4382-a425-ab1d4c0b2ed3 · outbound

This paper cites Regularizing activation distribution for training binarized deep networks.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Regularizing activation distribution for training binarized deep networks

Reference 21

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Observation 949df6c0-7587-40b7-98f0-77e92427921e · outbound

This paper cites Hawq: Hessian aware quantization of neural networks with mixed-precision.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Hawq: Hessian aware quantization of neural networks with mixed-precision

Reference 22

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Observation 01cd78bf-1d50-4303-a284-58fb525edde4 · outbound

This paper cites BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation

Reference 23

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Observation 9a7ac72a-9452-4b6b-b9f9-f946a7edfc0b · outbound

This paper cites Training with Quantization Noise for Extreme Model Compression.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Training with Quantization Noise for Extreme Model Compression

Reference 24

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Observation 5bc730f7-7869-489b-929a-f996ff072d80 · outbound

This paper cites Scribble tracker: a matting-based approach for robust tracking.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Scribble tracker: a matting-based approach for robust tracking

Reference 25

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Observation 117e2c62-8638-4cc8-afe5-6b54333ba35b · outbound

This paper cites A cluster sampling method for image matting via sparse coding.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting A cluster sampling method for image matting via sparse coding

Reference 26

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Observation 20620636-dfdf-4005-8363-d9d6c5a66b49 · outbound

This paper cites $F$, $B$, Alpha Matting.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting $F$, $B$, Alpha Matting

Reference 27

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Observation d4f0e31c-cdb1-4a40-a6e8-b70c910bbc1b · outbound

This paper cites Shared sampling for real-time alpha matting.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Shared sampling for real-time alpha matting

Reference 28

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Observation 5e0815ae-8cdc-4efd-a4da-18bc4f054a23 · outbound

This paper cites Larq: An open-source library for training binarized neural networks.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Larq: An open-source library for training binarized neural networks

Reference 29

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Observation 3200cd62-5002-481d-b1ac-d78fa36c2bd7 · outbound

This paper cites A survey of quan- tization methods for efficient neural network inference.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting A survey of quan- tization methods for efficient neural network inference

Reference 30

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Observation 26c65f47-1fd6-483e-9735-b81ac4ce5573 · outbound

This paper cites Random walks for interactive alpha- matting.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Random walks for interactive alpha- matting

Reference 31

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Observation 32dca86e-69bd-4358-bc30-0b2658317adf · outbound

This paper cites FactorMatte: Redefining Video Matting for Re-Composition Tasks.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting FactorMatte: Redefining Video Matting for Re-Composition Tasks

Reference 32

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Observation cd314a5d-d4ce-4891-a303-3ba68eeb47a2 · outbound

This paper cites A global sampling method for alpha matting.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting A global sampling method for alpha matting

Reference 33

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Observation 52335ec5-a77f-4b9d-afd9-9e012b10ebf7 · outbound

This paper cites Vita: Video instance segmentation via object token association.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Vita: Video instance segmentation via object token association

Reference 34

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Observation 4dc57d59-8b67-40fa-9dca-a130b094dbfc · outbound

This paper cites Context-aware image matting for simultaneous foreground and alpha estimation.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Context-aware image matting for simultaneous foreground and alpha estimation

Reference 35

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Observation 0e0e3355-538e-40c9-8f0e-1abc762a3209 · outbound

This paper cites Searching for mobilenetv3.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Searching for mobilenetv3

Reference 36

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Observation d63a7afd-a642-4cd6-8ea7-364803fcc936 · outbound

This paper cites BiLLM: Pushing the Limit of Post-Training Quantization for LLMs.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting BiLLM: Pushing the Limit of Post-Training Quantization for LLMs

Reference 37

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Observation ff108ff0-6375-45d3-9dbf-f659eb77a04a · outbound

This paper cites An empirical study of LLaMA3 quantization: from LLMs to MLLMs.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting An empirical study of LLaMA3 quantization: from LLMs to MLLMs

Reference 38

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Unavailable: canonical work link unavailable.

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Observation ece33be0-92c0-40bc-9d99-d4aad864ccc5 · outbound

This paper cites Binarized neural networks.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Binarized neural networks

Reference 39

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Observation 0ad9f26b-cec1-4eb9-82c3-f02f74258f76 · outbound

This paper cites Accurate post training quantization with small calibration sets.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Accurate post training quantization with small calibration sets

Reference 40

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:30.347328Z digest=sha256:fa7ec80d6a049a909661db3d98cccaaccebb8df0523cf8fe52510c13aad1adf3

Observation 15f6e9c6-0411-4a93-a72b-99738232a352 · outbound

This paper cites A programming language.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting A programming language

Reference 41

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raw_fallback, observed 2026-08-06T19:54:42.188869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:30.472420Z digest=sha256:4136f82604cd2df7f26e2fdf20bb86c2e5d5c2b12538040dd4d7518e69ba1ba8

Observation 745016f7-c881-4713-be2d-6bc1a622f25e · outbound

This paper cites Image matting with kl-divergence based sparse sampling.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Image matting with kl-divergence based sparse sampling

Reference 42

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verified fuzzy
raw_fallback, observed 2026-08-06T19:54:42.178189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:30.536437Z digest=sha256:0131d0b5c4a8b6a1392f569a957ce03d857eb5c3cc299171049341c2a97e47f5

Observation 843af0d1-cdb8-4c77-a512-f293558cf229 · outbound

This paper cites Mask transfiner for high-quality instance segmentation.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Mask transfiner for high-quality instance segmentation

Reference 43

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verified fuzzy
raw_fallback, observed 2026-08-06T19:54:42.167322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:30.623333Z digest=sha256:dc6719be220ca26bce15a4c3d7b7d2ee1a6e524e51ef8f3fc878edd35d4617b2

Observation 9781be14-7ac9-4334-8da8-b23d5e4c8507 · outbound

This paper cites Video mask transfiner for high-quality video instance segmentation.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Video mask transfiner for high-quality video instance segmentation

Reference 44

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verified fuzzy
raw_fallback, observed 2026-08-06T19:54:42.156003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:30.718872Z digest=sha256:235ea1f18b62a4c8fcd225457bf80f4a66ace90268d949c3d8c85f38ecd93b9a

Observation 17873120-5542-4391-afb4-75eb23451a75 · outbound

This paper cites MODNet: Real-Time Trimap-Free Portrait Matting via Objective Decomposition.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting MODNet: Real-Time Trimap-Free Portrait Matting via Objective Decomposition

Reference 45

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verified exact
local_arxiv, observed 2026-08-06T19:54:37.508947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:30.806900Z digest=sha256:0e8d46177ae20dfef8b443bea0068f929729691ba274e6eb85f102736126baec

Observation 0f128b8b-642a-4f75-b2f1-20c966adaadb · outbound

This paper cites Modnet: Real-time trimap-free portrait matting via objective decomposition.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Modnet: Real-time trimap-free portrait matting via objective decomposition

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:42.143801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:30.875214Z digest=sha256:21d9ad8c5451f1c14fd872798d5a717025f37d6cc2e65757a82006e2698caba1

Observation 580a0706-7c17-4c6f-bd95-8fac63ca8fd1 · outbound

This paper cites A closed- form solution to natural image matting.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting A closed- form solution to natural image matting

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:42.132686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:30.985592Z digest=sha256:06fa20d93fafdb229c8e1bb0215d4caf541622028be8dcbabf04ff98789605b6

Observation fe6b6df3-0efa-4f58-bc5d-7c42cecb5b7b · outbound

This paper cites VMFormer: End-to-End Video Matting with Transformer.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting VMFormer: End-to-End Video Matting with Transformer

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:54:37.324816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:31.064431Z digest=sha256:f4f02a2fbe916b307448ea8e1668341a94f4358cf06047d6f9f1262918b2ea5e

Observation 96e527d9-88c1-4673-9285-757ea23f7cd9 · outbound

This paper cites Video- matt: A simple baseline for accessible real-time video matting.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Video- matt: A simple baseline for accessible real-time video matting

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:42.121911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:31.141190Z digest=sha256:84501a971cd90a0a9e711fa0de135115f632c384b485c9f3dc9390a833a70231

Observation 7a710eed-0e1c-4d52-9474-37ecbe9751c1 · outbound

This paper cites Siman: Sign- to-magnitude network binarization.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Siman: Sign- to-magnitude network binarization

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:42.110683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:31.216541Z digest=sha256:876a0700d3acb821362bed3e26480ee3c5cc9dbd193bfa7fcbadf8e3179ba89e

Observation 0d75bafa-046a-4c0d-8a0f-6c71b7bcd35d · outbound

This paper cites Real-time high-resolution background mat- ting.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Real-time high-resolution background mat- ting

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:42.099355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:31.306047Z digest=sha256:fa6afcedd4823816792f89f2d99f5e63bde6ee0818d237be1983405ad1f64026

Observation a1e1c595-66fc-4258-9be2-5e444e05bba7 · outbound

This paper cites Backgroundmattingv2, 05 2023.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Backgroundmattingv2, 05 2023

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:42.087058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:31.404359Z digest=sha256:ff789fa4fd644ee05e420c6a3e864bf58256d9f5b9f8f98d91afe618ee4a6f22

Observation 350f13a8-1bed-457a-90ad-0014b610923e · outbound

This paper cites Robust high-resolution video matting with temporal guidance.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Robust high-resolution video matting with temporal guidance

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:42.075600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:31.518837Z digest=sha256:9ec71b1d9a076baf13a32dbd16247d3bd4a65afe08a56d8c0dc6742fb458231f

Observation 791edf97-085e-47c9-803c-3722048a3a8b · outbound

This paper cites Robustvideomatting, 05 2023.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Robustvideomatting, 05 2023

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:42.064795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:31.608734Z digest=sha256:525f3859e530f29fd89b0d44584f3e56ad5f33ea245a48a2d81b05007b27ac6e

Observation a92f3c46-4640-49d0-8002-28fc28e46dbe · outbound

This paper cites Neural Networks with Few Multiplications.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Neural Networks with Few Multiplications

Reference 55

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no resolver link, observed 2026-08-06T19:54:31.680996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:31.680996Z digest=sha256:278b14a728abee7ce3ea14343a0a3b877287b5e1239bc27653ac602dca84a011

Observation 4bb1905b-9749-4b59-92af-e4f052146bff · outbound

This paper cites Boosting semantic human matting with coarse annotations.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Boosting semantic human matting with coarse annotations

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:42.053117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:31.775352Z digest=sha256:c87cbfec2ed36fad6305680c95794a018f566392e6fa6ec6b795381dcbbd2ce5

Observation fe551ca5-56a9-4ac5-8a8d-673e9654dc1e · outbound

This paper cites Bit: Robustly binarized multi-distilled trans- former.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Bit: Robustly binarized multi-distilled trans- former

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:42.041664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:31.838504Z digest=sha256:5ec75806b29136547cf331656cff054843660c789f7863205f0c323a980aafbc

Observation 288e1054-d944-4c19-bda9-0910a6f76e4b · outbound

This paper cites Reactnet: Towards precise binary neural network with generalized activation functions.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Reactnet: Towards precise binary neural network with generalized activation functions

Reference 58

Resolution
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raw_fallback, observed 2026-08-06T19:54:42.028526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:31.932146Z digest=sha256:04a0a47e6c7968705f4f45629cbec94c40bbd4c5ffb27138774278779e3e2fec

Observation 0906ed06-c561-4956-a8f4-fe0809b0b87e · outbound

This paper cites Bi-real net: Enhancing the performance of 1-bit cnns with improved representational capability and advanced training algorithm.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Bi-real net: Enhancing the performance of 1-bit cnns with improved representational capability and advanced training algorithm

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:42.016626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:32.030617Z digest=sha256:c35abd6615d5fe581eb86215bd5529fd77c9079110010a9417a6540fa781acd0

Observation b9d823f2-bc92-47cc-9b01-d34163c27739 · outbound

This paper cites Training binary neural networks with real-to-binary convolutions.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Training binary neural networks with real-to-binary convolutions

Reference 60

Resolution
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raw_fallback, observed 2026-08-06T19:54:42.004684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:32.136275Z digest=sha256:de126924d0c88395be2b5a47619f281104605e5beed9b2493b1f424e77d121a2

Observation 37cd30ab-fe87-4afc-b938-b315f4c00e64 · outbound

This paper cites Training binary neural networks with real-to-binary convolutions.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Training binary neural networks with real-to-binary convolutions

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:41.992549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:32.224509Z digest=sha256:0b1a99d8e385e9d824efb595b2d1832a8830c4038b35b63d437e187526dd5b56

Observation cf0beec6-8cbe-4135-8d8c-82140c7688f5 · outbound

This paper cites Up or down? adaptive rounding for post-training quantization.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Up or down? adaptive rounding for post-training quantization

Reference 62

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no resolver link, observed 2026-08-06T19:54:32.307233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:32.307233Z digest=sha256:7cacf55ef77f09726cd180638c3921efe44e496cedc5dfcf412bc45ee9fbe172

Observation 6506ee1a-8426-40e0-9caa-b2119cd08d19 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Pytorch: An imperative style, high-performance deep learning library

Reference 63

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no resolver link, observed 2026-08-06T19:54:32.406412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:32.406412Z digest=sha256:f0e41459583251cacfb4946c89cdf991664b91e0469d5add3255e8b65745f587

Observation 8686a1ff-de05-4dc9-bdf9-422813f4411b · outbound

This paper cites Binarizing mobilenet via evolution-based searching.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Binarizing mobilenet via evolution-based searching

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:41.968394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:32.480514Z digest=sha256:5465918802560291df906257973476942e679a45ad7c7d87d55f02ae23a533cd

Observation 8dc955d1-e726-4a24-a6ff-d52551377545 · outbound

This paper cites Attention- guided hierarchical structure aggregation for image mat- ting.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Attention- guided hierarchical structure aggregation for image mat- ting

Reference 65

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raw_fallback, observed 2026-08-06T19:54:41.956947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:32.561584Z digest=sha256:a2c42c2edb41599850588ff7c53e2a6847b40075ec9335e017915bf1b50cbff7

Observation 97f3fc67-14c0-406e-ae80-46659296dee7 · outbound

This paper cites BiBERT: Accurate Fully Binarized BERT.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting BiBERT: Accurate Fully Binarized BERT

Reference 66

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no resolver link, observed 2026-08-06T19:54:32.676449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:32.676449Z digest=sha256:c38b52b94e94b21a94b8dee7e5a4f6bc6cafb73071a157a0951be03ec6b46c27

Observation c5d7e5a7-b0eb-4e0d-8640-79f09f477776 · outbound

This paper cites Diverse sample generation: Pushing the limit of generative data-free quantization.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Diverse sample generation: Pushing the limit of generative data-free quantization

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:41.945558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:32.855097Z digest=sha256:3b241d1b5dbdc3506c820d6a1c8da05544bba9c71755580b31b22a6eca19d6a4

Observation 1411133a-7d3d-4209-991a-6c2d1da909bb · outbound

This paper cites Binary neural networks: A survey.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Binary neural networks: A survey

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:41.934458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:32.936393Z digest=sha256:7bd9c9e6d2d85af1583a82c38d94e38546e3d9da96767ed64a7205d9b07088c2

Observation 0d8afab7-8f0b-4d67-b274-c66002472662 · outbound

This paper cites Forward and backward information retention for accurate binary neural networks.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Forward and backward information retention for accurate binary neural networks

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:41.922842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:33.056941Z digest=sha256:6c1eb2fac6a58c288f62dbb3312f4140a9b7feaf4e177f5c2e0610f882e4e762

Observation 088da63d-98bd-4a38-ac9d-a8be0a023907 · outbound

This paper cites Bimatting: Efficient video matting via binarization.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Bimatting: Efficient video matting via binarization

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:41.912296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:33.154490Z digest=sha256:1754b489eb06c7059bc1ad52c053094f075d556d88734ccfa7feda4db96f8e18

Observation 5be5d8db-e076-440c-8af5-ea2a27e090f9 · outbound

This paper cites Accurate LoRA-Finetuning Quantization of LLMs via Information Retention.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Accurate LoRA-Finetuning Quantization of LLMs via Information Retention

Reference 71

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:54:37.173682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:33.242646Z digest=sha256:6452a317b14bada2c8a930224979ddf0d8d3e3444c2ac0e4955194c6abd8f350

Observation 4517a29d-aa48-4875-82f1-4b9042b3fc69 · outbound

This paper cites Bibench: Benchmarking and analyzing network binarization.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Bibench: Benchmarking and analyzing network binarization

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:41.901461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:33.336524Z digest=sha256:b4423f3fce0262c48e46f7b5c8b6a770f1e55cd0f3623759eeefd5cb75a9c1c7

Observation b250cae3-c9d5-4abc-bd29-1840a4da685f · outbound

This paper cites Distribution-sensitive infor- mation retention for accurate binary neural network.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Distribution-sensitive infor- mation retention for accurate binary neural network

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:41.889381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:33.423831Z digest=sha256:dea7a54b25bdc34979a1db3ba371fd492b66fc30fe43cb22b1cdefeda2e51934

Observation 74e4f77e-dac5-412c-8899-300dc8d00d3d · outbound

This paper cites Xnor-net: Imagenet classification using binary convolutional neural networks.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Xnor-net: Imagenet classification using binary convolutional neural networks

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:41.878108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation de3b7cfb-d2f1-433e-b59d-02d772a7f9bf · outbound

This paper cites Principles of neurodynamics.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Principles of neurodynamics

Reference 75

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:33.567395Z digest=sha256:a63154ddad6e4ad1fc884a17cfb4ce0077b7502fe94c546a086b274dce0af030

Observation 33c73e8b-a913-4eb6-a3e1-e27531d8f46d · outbound

This paper cites Howard, Menglong Zhu, An- drey Zhmoginov, and Liang-Chieh Chen.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Howard, Menglong Zhu, An- drey Zhmoginov, and Liang-Chieh Chen

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:41.855735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:33.656533Z digest=sha256:fdee40161f7c857049258bf50c22799e0ef44db921b037a7b0f431870dc3a0e9

Observation d1778e31-08b3-493b-b78e-0fab622a130a · outbound

This paper cites Back- ground matting: The world is your green screen.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Back- ground matting: The world is your green screen

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:41.845737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 84f612bc-842d-40b1-a324-6a74f8a2bd63 · outbound

This paper cites Lipschitz continuity retained binary neural network.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Lipschitz continuity retained binary neural network

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:41.772080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:33.832586Z digest=sha256:d517c884c913dafd7e51c6d0d2aba8aae912ffeeba449b1d17903c2c9bde0f99

Observation 431203c3-5691-45e3-9eab-ee4bf89c37b5 · outbound

This paper cites Network binarization via contrastive learning.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Network binarization via contrastive learning

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:41.701564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:33.911210Z digest=sha256:578a3c6a0f12cab61e484465a8d5990f40b397c9e0662043ba121a6fadb1e435

Observation 827285ab-857d-4e5e-84f5-9509ae597166 · outbound

This paper cites Information Flow in Deep Neural Networks.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Information Flow in Deep Neural Networks

Reference 80

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:54:36.959935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:33.979850Z digest=sha256:f4831996e9b5cfb4d0703519e4a57872ea448ba2370d97528ff793d9406e2e47

Observation d1ff867d-3846-4dc5-995b-f42a58a47c9a · outbound

This paper cites Opening the Black Box of Deep Neural Networks via Information.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Opening the Black Box of Deep Neural Networks via Information

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-06T19:54:34.066240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:34.066240Z digest=sha256:0b4f6b403bbdad0f256aeb113dafadf3cb61c05019b090f4c3631c98652ade88

Observation efa34335-8474-449a-883b-a17b84e2d32f · outbound

This paper cites The information bottleneck: Theory and applications.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting The information bottleneck: Theory and applications

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:41.429267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:34.178453Z digest=sha256:6913fdcdb2b2ea4b418e5cdc7b2bb687b2c3da92dd8e50f3a277ef54060047a6

Observation af786d4a-0914-4689-9359-bad0654911c9 · outbound

This paper cites Deep video matting via spatio-temporal alignment and aggregation.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Deep video matting via spatio-temporal alignment and aggregation

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:41.236161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:34.318536Z digest=sha256:4f2c9cca9b7225b64bfb913a77969e987fd66a1e1b80a69e78d82694a0435783

Observation 4035cae0-fc50-43a3-af6b-4d9cc82f8595 · outbound

This paper cites Degree-quant: Quantization-aware training for graph neural networks.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Degree-quant: Quantization-aware training for graph neural networks

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:41.059540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 83feca3c-b794-4448-9591-5bb1c96a7167 · outbound

This paper cites Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-06T19:54:34.508875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:54:34.508875Z digest=sha256:d3362b3f2d15abb6ad5e28b01a2562116a457685f0c5cac38f5850c909acc967

Observation a5aff1f1-42ed-4ce2-84c3-de73dc291033 · outbound

This paper cites Binary graph convolutional network with capacity exploration.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Binary graph convolutional network with capacity exploration

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:40.817375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:34.614607Z digest=sha256:4fb005672d8ce37d5a40386bdf5dc3971190b420cc56b7500c7014e99f22e393

Observation e9bbc193-6457-44a0-8502-31a0c881c973 · outbound

This paper cites Gradient matters: Designing binarized neural networks via enhanced information-flow.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Gradient matters: Designing binarized neural networks via enhanced information-flow

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:40.550486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:34.688725Z digest=sha256:90642ee2431579201b19b9e762b6e4546b9b01a8a4df9f932cdd57397febae91

Observation 8da4e5c9-62fe-4e96-9919-718a3e124c8f · outbound

This paper cites Matting by generation.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Matting by generation

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:40.393057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:34.797367Z digest=sha256:01200ac84d0a425c60749013e45121bb6b619cf0a00f8e3fc18c83081cf77689

Observation 6098911c-e2c3-4957-a7c4-f2bc6a21ad18 · outbound

This paper cites Learning channel-wise interactions for binary con- volutional neural networks.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Learning channel-wise interactions for binary con- volutional neural networks

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:40.102298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:34.908102Z digest=sha256:f602f249188aa02aa4c45d250d605da51224ef48af80085e87c1a68535dbe101

Observation aa2c6bc0-f7e4-4827-8b92-27d56d010221 · outbound

This paper cites Learning efficient binarized object detectors with information com- pression.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Learning efficient binarized object detectors with information com- pression

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:39.978158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:35.010093Z digest=sha256:45b08e6490c9e4615ddb947937ec231c272bc6b98f0d22c6b46089c06eacef79

Observation 54d3df80-1da7-43f3-988b-b6d8a79082d4 · outbound

This paper cites Bidet: An efficient binarized object detector.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Bidet: An efficient binarized object detector

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:39.809787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:35.097714Z digest=sha256:ae1bd1ee1fce6dbd0c82f5a2bb0a86280e6c9059a49e96ca81e6fd1683a01ebd

Observation 2b1f8870-ede5-4f31-bf82-ebd060429536 · outbound

This paper cites Deep image matting with sparse user interactions.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Deep image matting with sparse user interactions

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:39.708380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:35.168183Z digest=sha256:0846553474a183768fda0431294c069f237883d7ab5e07887ec219c0247d0ff2

Observation 443827b3-9d69-41e6-b18f-6047ce330f77 · outbound

This paper cites Fast end-to-end trainable guided filter.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Fast end-to-end trainable guided filter

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:39.576327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:35.270862Z digest=sha256:72949efc53c4d7049792a836b6bf6c62576db4904c78ed5f896f748999f78aaa

Observation 452f923e-caac-41ba-a169-f65b730f1c09 · outbound

This paper cites Seqformer: Sequential transformer for video instance segmentation.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Seqformer: Sequential transformer for video instance segmentation

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:39.298798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:35.408503Z digest=sha256:88a42771bb462a9bb64d6fbf286d1fd1f30f8327cb3287ff8448018daec453cb

Observation f0efebfc-f1be-4081-883d-608ea782e6cd · outbound

This paper cites Deep image matting.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Deep image matting

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:39.253657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:35.512417Z digest=sha256:9f6f3f98ee81203fc2e0c562623eb7716037bd2661f71f486787cf156455a2db

Observation 9863d082-6341-409a-8f16-09f9f999172f · outbound

This paper cites POEM: 1-bit Point-wise Operations based on Expectation-Maximization for Efficient Point Cloud Processing.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting POEM: 1-bit Point-wise Operations based on Expectation-Maximization for Efficient Point Cloud Processing

Reference 96

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:54:36.776942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:35.600199Z digest=sha256:31c4ecdce205211b8a6046c27bb080fa639af0fc74cc1d8ff867b7da9ba12ccb

Observation 71c9f88a-b60e-480a-8cfc-6cd37c1ecc17 · outbound

This paper cites Recu: Reviving the dead weights in binary neural networks.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Recu: Reviving the dead weights in binary neural networks

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:39.134487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:35.704395Z digest=sha256:d9ddc29af0789cb2d5df829083850735ed83159e727301d7ee1c130b268bc5e3

Observation eb3eef57-1de9-41d9-bf59-a0c1f278b245 · outbound

This paper cites MatAnyone: Stable video matting with consistent memory propagation.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting MatAnyone: Stable video matting with consistent memory propagation

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:38.975068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:35.805808Z digest=sha256:3f4834b9ab7bf0648e216cb64f692f8776ee56f1b3c299c9c3752fb7bed15a52

Observation 6c1ee518-fdea-4bc5-a12a-f03820f07af5 · outbound

This paper cites Understanding straight- through estimator in training activation quantized neural nets.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Understanding straight- through estimator in training activation quantized neural nets

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:38.860779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:35.881143Z digest=sha256:770e944dc4d237922abc0ff3b10da7cf9174184ceb5a67a1c23a0e97841c6a60

Observation e0fa856e-adc4-41d2-9679-02f4960c7d16 · outbound

This paper cites Mask guided matting via progressive refinement network.

BiVM: Accurate Binarized Neural Network for Efficient Video Matting Mask guided matting via progressive refinement network

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:54:38.711560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T19:54:35.970434Z digest=sha256:8cea47f9a830ebf7cfb2eddb056bbbba6fc3acdb87eaea3aebbcb17949d1a73d

Pith citing papers

No inbound Pith citation observations are available.