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Paper Citation Record · LEDGER

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision

As of 20 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2412.02890.

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

pith.paper-citation-record.v1
2412.02890 v3

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:03:33.322567Z

measured 45 of 45 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:28:13.447434Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T20:28:13.955472Z

Reference resolution

44 of 44 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3d84b439-387c-4b84-85a7-6b503fc328f2 · outbound

This paper cites an unresolved cited work.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision Unresolved cited work

Reference 1

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Observation 9e51ab6d-e4cd-432e-a6ce-22d2c9c75de9 · outbound

This paper cites End-to- end object detection with transformers.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision End-to- end object detection with transformers

Reference 2

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Observation e540a742-a1dc-4f82-b56d-99c5ad22803d · outbound

This paper cites Ob- ject detection with spiking neural networks on automotive event data.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision Ob- ject detection with spiking neural networks on automotive event data

Reference 3

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

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Observation 05f82eeb-b9e7-4ad5-af0e-7b7e77a6b638 · outbound

This paper cites AutoAugment: Learning Augmentation Policies from Data.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision AutoAugment: Learning Augmentation Policies from Data

Reference 4

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Observation dd3d1a8a-095a-450a-8c8b-21eb8e61c5d4 · outbound

This paper cites Cubuk, Barret Zoph, Jonathon Shlens, and Quoc V.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision Cubuk, Barret Zoph, Jonathon Shlens, and Quoc V

Reference 5

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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.

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Observation 9c996972-5568-4716-ac99-aa3148f5b777 · outbound

This paper cites A Large Scale Event-based Detection Dataset for Automotive.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision A Large Scale Event-based Detection Dataset for Automotive

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3818ab75-d8ad-4ce7-81a5-9d3713877bf3 · outbound

This paper cites Qlora: Efficient finetuning of quantized llms.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision Qlora: Efficient finetuning of quantized llms

Reference 7

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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.

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Observation c812828e-8343-4193-b9b4-d4138a678bd4 · outbound

This paper cites Event-based vision: A survey.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision Event-based vision: A survey

Reference 8

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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.

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Observation 1fcc909c-6c18-4252-953a-a7a7257a742d · outbound

This paper cites YOLOX: Exceeding YOLO Series in 2021.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision YOLOX: Exceeding YOLO Series in 2021

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a2443e9d-cab5-4226-9991-c523aeb80b28 · outbound

This paper cites YOLOX is a high-performance anchor-free YOLO, exceeding yolov3 v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision YOLOX is a high-performance anchor-free YOLO, exceeding yolov3 v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported

Reference 10

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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.

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Observation efa5ec5a-b2ab-4ace-85be-d24d301ee94f · outbound

This paper cites Pushing the Limits of Asynchronous Graph-based Object Detection with Event Cameras.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision Pushing the Limits of Asynchronous Graph-based Object Detection with Event Cameras

Reference 11

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 799398c5-66b5-498e-9ec1-5080c0672b87 · outbound

This paper cites Recurrent vi- sion transformers for object detection with event cameras.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision Recurrent vi- sion transformers for object detection with event cameras

Reference 12

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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.

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Observation 9f15995c-6935-4974-bffc-2fb15638fbfe · outbound

This paper cites Girshick, Jeff Donahue, Trevor Darrell, and Jiten- dra Malik.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision Girshick, Jeff Donahue, Trevor Darrell, and Jiten- dra Malik

Reference 13

Resolution
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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.

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Observation 2d8ff1f7-ae45-45dc-8c07-17007eef8597 · outbound

This paper cites Parameter-efficient fine-tuning for large models: A comprehensive survey.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision Parameter-efficient fine-tuning for large models: A comprehensive survey

Reference 14

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.

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Observation c2783f6e-db8b-4731-ac0e-dbce1d2680a8 · outbound

This paper cites Towards a unified view of parameter-efficient transfer learning.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision Towards a unified view of parameter-efficient transfer learning

Reference 15

Resolution
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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.

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Observation 44d0c2ce-3cea-4fc1-b21d-feae5de660e7 · outbound

This paper cites Deep residual learning for image recognition.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision Deep residual learning for image recognition

Reference 16

Resolution
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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.

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Observation 8e08932d-ce4a-4209-8e99-0179e3809f93 · outbound

This paper cites Parameter-efficient transfer learning for NLP.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision Parameter-efficient transfer learning for NLP

Reference 17

Resolution
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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.

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Observation 06e89163-600c-44db-b23c-cd5bde35f9e3 · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 18

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=2026-08-11T23:03:32.797704Z digest=sha256:33bee6eb50d841a6907e8d78d20ca515cb9efaebc1205c3518de88ea6ff8f72c

Observation d227d924-8bcb-4147-82a6-7c5c2592a029 · outbound

This paper cites Kingma and Jimmy Ba.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision Kingma and Jimmy Ba

Reference 19

Resolution
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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.

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Observation b4dd9000-e0fc-43c6-9bae-72b2d36a9829 · outbound

This paper cites Asynchronous spatio-temporal memory net- work for continuous event-based object detection.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision Asynchronous spatio-temporal memory net- work for continuous event-based object detection

Reference 20

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.

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Observation bdfb8c16-6c78-4108-ab6f-da759e6ad59d · outbound

This paper cites Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Doll ´ar, and C.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Doll ´ar, and C

Reference 21

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.

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Observation 5556e733-3cb9-4848-8c07-97f8b7b79d96 · outbound

This paper cites Path aggregation network for instance segmentation.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision Path aggregation network for instance segmentation

Reference 22

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.

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Observation c7ac1b3b-28b2-4aa1-8ecd-45c2b7e1602e · outbound

This paper cites TorchVision: Py- Torch’s computer vision library.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision TorchVision: Py- Torch’s computer vision library

Reference 23

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.

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Observation 7b964281-1bf9-4b94-88a4-9f061a12e0b9 · outbound

This paper cites Event-based asynchronous sparse con- volutional networks.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision Event-based asynchronous sparse con- volutional networks

Reference 24

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.

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Observation 901f0da8-9605-4874-ac8b-db897f088f0f · outbound

This paper cites Better and faster: Adaptive event conversion for event-based object detection.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision Better and faster: Adaptive event conversion for event-based object detection

Reference 25

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.

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Observation 8b112f78-7f36-4e90-9e0a-e8e9e5b4ebf8 · outbound

This paper cites GET: group event transformer for event-based vision.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision GET: group event transformer for event-based vision

Reference 26

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.

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Observation 0016af7f-3244-4ef2-99e2-d5bd7bd3013e · outbound

This paper cites Scene adaptive sparse transformer for event-based object detection.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision Scene adaptive sparse transformer for event-based object detection

Reference 27

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.

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Observation 3be7b353-0d49-4869-9e00-5d1c2212e6de · outbound

This paper cites Learning to detect objects with a 1 megapixel event camera.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision Learning to detect objects with a 1 megapixel event camera

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:03:33.722850Z

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=2026-08-11T23:03:32.967956Z digest=sha256:4c704e508b5a1644ea543e9d57f1e57c8c6e0242c068ac08fa9b0b13e153aad5

Observation c745540a-6b49-44b1-ba1c-c3d25b1ff2f7 · outbound

This paper cites Prophesee’s automotive dataset tool- box.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision Prophesee’s automotive dataset tool- box

Reference 29

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=2026-08-11T23:03:32.987327Z digest=sha256:d0818579ae07015930459655bd172f9f1f0aa1ef4eaa216c3e1206253e84b353

Observation 675ed251-7895-47a8-b299-e0ad6887174f · outbound

This paper cites Girshick, and Ali Farhadi.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision Girshick, and Ali Farhadi

Reference 30

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=2026-08-11T23:03:33.024725Z digest=sha256:7a4a9037033ab6304b1fc8026e662d8f30c3168f2d198620fafb662234f882c8

Observation c937d3d3-a83a-42dd-a11b-394bf1ead8de · outbound

This paper cites Girshick, and Jian Sun.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision Girshick, and Jian Sun

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:03:33.699756Z

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 68f8e7cb-d809-45d9-a22b-1586732eb2c8 · outbound

This paper cites AEGNN: asynchronous event-based graph neural networks.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision AEGNN: asynchronous event-based graph neural networks

Reference 32

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.

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Observation 0ccaf6e4-6900-448e-a923-e2449a54f7e5 · outbound

This paper cites Convolutional LSTM network: A machine learning approach for precipitation nowcasting.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision Convolutional LSTM network: A machine learning approach for precipitation nowcasting

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:03:33.682430Z

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=2026-08-11T23:03:33.095375Z digest=sha256:a30bf4b4ed6fe0b85afedd260cc496c1393760308ff3d2b695fb3747173a6735

Observation b7a215f1-cfcb-4032-b501-ca8d3dea7c5e · outbound

This paper cites Super-convergence: Very fast training of neural networks using large learn- ing rates.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision Super-convergence: Very fast training of neural networks using large learn- ing rates

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:03:33.648072Z

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=2026-08-11T23:03:33.113354Z digest=sha256:3642e431fddd0f6b51198a9413d32af1758c51eea5e367dd8707f9f3a8a95079

Observation 01d046b0-6063-48e0-9316-4cc5c87a6f2b · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:03:33.583864Z

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=2026-08-11T23:03:33.156623Z digest=sha256:1c075b74a4c2c9bd5587507e3bd2b152d3ba62bafd8dd37df36c778fa09e9a52

Observation 2486e7b5-b54d-4fbd-9278-0fd8c508d6a3 · outbound

This paper cites Ni, and Heung-Yeung Shum.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision Ni, and Heung-Yeung Shum

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:03:33.561415Z

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=2026-08-11T23:03:33.187724Z digest=sha256:3ec6fd9dfeefe26a381af7de3b3531e3c763813416da22975759d192476aa5d3

Observation 9e3a1111-1fb1-46f6-ac3b-6b37e046f33b · outbound

This paper cites Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs beat YOLOs on Real-time object detection.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs beat YOLOs on Real-time object detection

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:03:33.553854Z

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=2026-08-11T23:03:33.209402Z digest=sha256:87572938779b2763f4cdcf901466d01b803200165ace70ed43a9995b41a8d76c

Observation 2c3508b9-4887-4058-9f7c-1ace667f37ad · outbound

This paper cites DETRs beat YOLOs on Real-time object detection.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision DETRs beat YOLOs on Real-time object detection

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:03:33.545080Z

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=2026-08-11T23:03:33.222904Z digest=sha256:1c58a1d98115307e0afffe72ee096f6c76d9615a91255613511137134d470f2a

Observation d3a14679-654c-4446-be8e-7c7ef2963a07 · outbound

This paper cites Convolution meets lora: Parameter efficient finetuning for segment anything model.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision Convolution meets lora: Parameter efficient finetuning for segment anything model

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:03:33.535785Z

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=2026-08-11T23:03:33.233301Z digest=sha256:d49832c0e462cf80fe501a0a91f07cd55cab93ba27544af2b49314ae921dfd3f

Observation eafd9e22-8c58-4d26-984e-1f273d16c95b · outbound

This paper cites Deformable DETR: deformable transformers for end-to-end object detection.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision Deformable DETR: deformable transformers for end-to-end object detection

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:03:33.525610Z

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=2026-08-11T23:03:33.259782Z digest=sha256:1db507841d4ef440c338ef6a1fb834a28abe4d06a27abab71db82d995b860a96

Observation b091d324-dace-4c89-a286-2b6fcc9377d0 · outbound

This paper cites From chaos comes order: Ordering event representations for object recognition and detection.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision From chaos comes order: Ordering event representations for object recognition and detection

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:03:33.516714Z

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=2026-08-11T23:03:33.283144Z digest=sha256:5c1dce9f3bbc4ff28d4f867d793936d273331d7bb816272a701a09ed4ec5eb88

Observation 6f0baccb-9b08-4014-bb1f-2763311357e7 · outbound

This paper cites State space models for event cameras.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision State space models for event cameras

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:03:33.506249Z

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=2026-08-11T23:03:33.303035Z digest=sha256:c78f0356b23e643fa844996381f6526ea97c7c026dbeec438f0833afae976e21

Observation adbce6f1-e1ab-4616-90a3-0fd4fb806e32 · outbound

This paper cites an unresolved cited work.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision Unresolved cited work

Reference 587

Resolution
unresolved
raw_fallback, observed 2026-08-11T23:03:34.053235Z

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=2026-08-11T23:03:32.781852Z digest=sha256:8fb817c22dcb882a15a4737cd481105f75b91c22d1566297cf582145d7f24561

Observation 2d2936e9-c742-4f16-9e31-6df84e0c4548 · outbound

This paper cites 3, 7, 13 A.

EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision 3, 7, 13 A

Reference 5828

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:03:33.409619Z

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=2026-08-11T23:03:33.322567Z digest=sha256:64cf39f2c4466cb5db1931d71e0a3ff21f7e4e0e40ac579671793ba42921db09

Pith citing papers

Observation 305bcb9c-468d-42cf-a013-9227d172e5a1 · inbound

Dynamic Graph Induced Contour-aware Heat Conduction Network for Event-based Object Detection cites this paper.

Dynamic Graph Induced Contour-aware Heat Conduction Network for Event-based Object Detection EvRT-DETR: Latent Space Adaptation of Image Detectors for Event-based Vision

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-15T20:28:13.963339Z

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=2026-08-15T20:28:13.447434Z digest=sha256:88abe341f0e1a65d6decccd1cc1e1a9648d9b42c69abd63202a23cd25a3bd0e3