Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 | Paper Citation Record

Observation b28c428e-bd6e-4cf8-82ff-3854b89cac11 · outbound

This paper cites Sam 2: Segment anything in images and videos,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Sam 2: Segment anything in images and videos,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:10.758977Z

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Observation 89cba461-15a6-42c8-94cf-ccf6313b6778 · outbound

This paper cites Segment anything,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Segment anything,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:10.801210Z

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Observation 6eea5a55-a869-4526-8f08-9b422ee29b99 · outbound

This paper cites A benchmark dataset and evaluation methodology for video object segmentation,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 A benchmark dataset and evaluation methodology for video object segmentation,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:10.853646Z

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Observation 08fc176f-df6f-40bb-8e59-4ff096a13b32 · outbound

This paper cites Rethinking space-time networks with improved memory coverage for efficient video object segmentation,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Rethinking space-time networks with improved memory coverage for efficient video object segmentation,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:10.905594Z

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Observation 0b07962b-95c2-4401-bba3-3d987b8bf62b · outbound

This paper cites Xmem: Long-term video object segmentation with an atkinson-shiffrin memory model,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Xmem: Long-term video object segmentation with an atkinson-shiffrin memory model,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:10.958548Z

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Observation 960d5bb8-17bc-4736-ad35-ed8a748a5239 · outbound

This paper cites Putting the object back into video object segmentation,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Putting the object back into video object segmentation,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:11.012093Z

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Observation ce6ae70c-c99c-44bc-bc62-8f55e4451f9b · outbound

This paper cites Efficient-sam2: Accelerating sam2 with object-aware visual encoding and memory retrieval,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Efficient-sam2: Accelerating sam2 with object-aware visual encoding and memory retrieval,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:11.063489Z

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Observation 5dafae6c-862c-43bd-aaf2-1f20f4922c1d · outbound

This paper cites Fast sam2 with text-driven token pruning,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Fast sam2 with text-driven token pruning,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:11.139583Z

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Observation c67e17da-b85a-43d2-9b1b-fdaafcfbe305 · outbound

This paper cites TinySAM 2: Extreme Memory Compression for Efficient Track Anything Model.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 TinySAM 2: Extreme Memory Compression for Efficient Track Anything Model

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:11.216668Z

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Observation 30542592-5f58-42fe-acf7-88a49c6d8f79 · outbound

This paper cites Surgical SAM 2: Real- time segment anything in surgical video by efficient frame pruning,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Surgical SAM 2: Real- time segment anything in surgical video by efficient frame pruning,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:11.270794Z

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Observation 416ce3e4-b630-4810-ac09-888da6620d96 · outbound

This paper cites Tsms-sam2: multi-scale temporal sampling augmentation and memory-splitting pruning for promptable video object segmentation and tracking in surgical scenarios,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Tsms-sam2: multi-scale temporal sampling augmentation and memory-splitting pruning for promptable video object segmentation and tracking in surgical scenarios,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:11.376530Z

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Observation 3f4768b4-feba-4142-a6f8-0676cffe3fb6 · outbound

This paper cites Efficient track anything,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Efficient track anything,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:11.493867Z

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Observation b18d6867-db27-4f40-8d7e-8f3f21b6abdb · outbound

This paper cites SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:11.608780Z

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Observation a3271173-d28c-4fdc-a822-a76622976dad · outbound

This paper cites Ahcptq: Accurate and hardware-compatible post-training quantization for segment anything model,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Ahcptq: Accurate and hardware-compatible post-training quantization for segment anything model,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:11.751250Z

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Observation 9b3d4af8-a74e-4c37-8f55-76c5946f3396 · outbound

This paper cites Q-sam2: Accurate quantization for segment anything model 2,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Q-sam2: Accurate quantization for segment anything model 2,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:11.884098Z

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Observation 9d38d729-4a65-41c3-8311-d9e359cec8d9 · outbound

This paper cites Mix-qsam2: Mixed-precision quantization for high fidelity segmentation in resource constrained scenarios,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Mix-qsam2: Mixed-precision quantization for high fidelity segmentation in resource constrained scenarios,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:11.957852Z

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Observation 40ff3a74-0075-4633-9ee9-db3a65a087f5 · outbound

This paper cites Q-minisam2: A quantization-based benchmark for resource-efficient video segmenta- tion,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Q-minisam2: A quantization-based benchmark for resource-efficient video segmenta- tion,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:12.078412Z

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Observation 77dd2664-bd22-4da9-925d-0cb16d4be973 · outbound

This paper cites Efficient video object segmentation and tracking with recurrent dynamic submodel,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Efficient video object segmentation and tracking with recurrent dynamic submodel,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:12.206777Z

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Observation bacca0de-a691-4c86-8fc4-3f838dd99b5a · outbound

This paper cites Edgetam: On-device track anything model,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Edgetam: On-device track anything model,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:12.321758Z

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Observation 9ac497de-d8d7-4542-a2bb-3cc58024b56a · outbound

This paper cites AHCQ-SAM: Toward Accurate and Hardware-Compatible Post-Training Segment Anything Model Quantization.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 AHCQ-SAM: Toward Accurate and Hardware-Compatible Post-Training Segment Anything Model Quantization

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:12.446712Z

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Observation 371ca45a-eb8d-4abd-84b1-2d977f335213 · outbound

This paper cites Lvos: A benchmark for large-scale long-term video object segmentation,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Lvos: A benchmark for large-scale long-term video object segmentation,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:12.591422Z

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Observation 965824bc-9791-4ac2-a72a-20558e0a8c28 · outbound

This paper cites SENTRY: SAM2-Enhanced Neighbor-Aware and Temporally Reasoned Memory for Visual Tracking.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 SENTRY: SAM2-Enhanced Neighbor-Aware and Temporally Reasoned Memory for Visual Tracking

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:12.707979Z

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Observation 8d85e197-0346-487b-b4cd-feca85a4cef2 · outbound

This paper cites Object tracking: A survey,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Object tracking: A survey,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:12.805366Z

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Observation 87b53170-cc44-4b23-84da-5bbd0360ba4f · outbound

This paper cites A survey on deep learning technique for video segmentation,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 A survey on deep learning technique for video segmentation,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:12.940748Z

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Observation 9d6bdf99-d138-429f-9659-f56ee41c8642 · outbound

This paper cites Medical SAM 2: Segment medical images as video via Segment Anything Model 2.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Medical SAM 2: Segment medical images as video via Segment Anything Model 2

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:13.069270Z

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Observation 0c415da8-2190-476d-8ca4-6c3d95c9e9b7 · outbound

This paper cites MedSAM2: Segment Anything in 3D Medical Images and Videos.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 MedSAM2: Segment Anything in 3D Medical Images and Videos

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:13.236874Z

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Observation 11ed655a-7c8c-46b6-a63e-b819fe237948 · outbound

This paper cites Sam2long: Enhancing sam 2 for long video segmentation with a training-free memory tree,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Sam2long: Enhancing sam 2 for long video segmentation with a training-free memory tree,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:13.348653Z

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Observation 7b4945a1-90ae-4d7d-9e04-13f67102fb1a · outbound

This paper cites A distractor-aware memory for visual object tracking with sam2,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 A distractor-aware memory for visual object tracking with sam2,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:13.473268Z

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Observation 0d8451d8-7b17-4eac-94ea-e9a7210318ff · outbound

This paper cites Fast Segment Anything.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Fast Segment Anything

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:13.566960Z

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Observation b521a8ac-5233-4818-8566-70df2080f2f9 · outbound

This paper cites Faster Segment Anything: Towards Lightweight SAM for Mobile Applications.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Faster Segment Anything: Towards Lightweight SAM for Mobile Applications

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:13.678289Z

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Observation a02c9f86-1814-4b42-9576-d13f352c9e25 · outbound

This paper cites Efficientsam: Leveraged masked image pretraining for efficient segment anything,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Efficientsam: Leveraged masked image pretraining for efficient segment anything,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:13.758268Z

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Observation 93d25026-318c-413c-be85-757cc54f6409 · outbound

This paper cites EdgeSAM: Prompt-In-the-Loop Distillation for SAM.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 EdgeSAM: Prompt-In-the-Loop Distillation for SAM

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:13.812218Z

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Observation 54c6085e-2d75-41e0-9f47-abdca1f0e1f0 · outbound

This paper cites Tinysam: Pushing the envelope for efficient segment anything model,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Tinysam: Pushing the envelope for efficient segment anything model,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:13.848938Z

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Observation 2e630a90-952e-43e0-8620-ed190c57aa05 · outbound

This paper cites Slimsam: 0.1% data makes segment anything slim,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Slimsam: 0.1% data makes segment anything slim,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:13.894506Z

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Observation e5abb12f-ee1d-46aa-b63c-6e110d51213f · outbound

This paper cites SuperSAM: Crafting a SAM Supernetwork via Structured Pruning and Unstructured Parameter Prioritization.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 SuperSAM: Crafting a SAM Supernetwork via Structured Pruning and Unstructured Parameter Prioritization

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:14.066618Z

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Observation 338f8344-7367-44bc-8c7a-92be1741ec42 · outbound

This paper cites SparseSAM: Structured Sparsification of Activations in Segment Anything Models.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 SparseSAM: Structured Sparsification of Activations in Segment Anything Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:14.189200Z

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Observation e7577f7b-f033-458c-8b21-ea8d2152addf · outbound

This paper cites Structsam: structure-aware prompt adaptation for robust lung cancer lesion segmentation in ct,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Structsam: structure-aware prompt adaptation for robust lung cancer lesion segmentation in ct,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:14.225415Z

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Observation 892b8476-c909-40f9-aa43-e9e0f8712f5e · outbound

This paper cites Car-sam: Cross-attention recon- struction for post-training quantization of the segment anything model,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Car-sam: Cross-attention recon- struction for post-training quantization of the segment anything model,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:14.309015Z

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Observation c1fcf823-cdd0-4349-ba93-89f38ac771e1 · outbound

This paper cites Saq-sam: Semantically- aligned quantization for segment anything model,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Saq-sam: Semantically- aligned quantization for segment anything model,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:14.437030Z

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Observation 772d9495-8e84-4298-977e-f8d5f6d03fd2 · outbound

This paper cites Efficientvit-sam: Accelerated segment anything model without performance loss,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Efficientvit-sam: Accelerated segment anything model without performance loss,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:14.493536Z

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Observation 3e0acce2-73ce-4914-926b-0faedb66e35a · outbound

This paper cites Ptq4sam: Post-training quantization for segment anything,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Ptq4sam: Post-training quantization for segment anything,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:14.610585Z

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Observation a6b573c2-cfdb-483d-bfb0-38de2b4086d0 · outbound

This paper cites On efficient variants of segment anything model: A survey: X. sun et al.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 On efficient variants of segment anything model: A survey: X. sun et al

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:14.721173Z

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Observation b159bda4-e19c-4f6a-afc4-ed2569298819 · outbound

This paper cites Repvit: Revisiting mobile cnn from vit perspective,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Repvit: Revisiting mobile cnn from vit perspective,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:14.802334Z

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Observation 8bdde97d-0233-43a0-8e72-14f67f5ec65b · outbound

This paper cites Sam2lora: Composite loss-guided, parameter-efficient finetuning of sam2 for retinal fundus segmentation,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Sam2lora: Composite loss-guided, parameter-efficient finetuning of sam2 for retinal fundus segmentation,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:14.916646Z

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Observation de6154dd-2098-4cc6-a615-e3280cd2bad5 · outbound

This paper cites Uniultra: Interactive parameter-efficient sam2 for universal ultrasound segmentation,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Uniultra: Interactive parameter-efficient sam2 for universal ultrasound segmentation,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:15.026736Z

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Observation 895ce130-d55d-4440-96b9-dbffc22ee1f5 · outbound

This paper cites Prompt-Free and Efficient SAM2 Adaptation for Biomedical Semantic Segmentation via Dual Adapters.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Prompt-Free and Efficient SAM2 Adaptation for Biomedical Semantic Segmentation via Dual Adapters

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:15.140929Z

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Observation ce35a665-cb73-4336-aa42-60fabfc1b75f · outbound

This paper cites Sam2v-btr: Accelerat- ing sam 2 training for 3d medical image segmentation through bootstrap and memory annealing,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Sam2v-btr: Accelerat- ing sam 2 training for 3d medical image segmentation through bootstrap and memory annealing,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:15.232747Z

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Observation e601e335-9367-4916-9bb4-bc3d99d53f84 · outbound

This paper cites Mft: Memory- aware fine-tuning of sam2 for efficient long-sequence video object segmentation,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Mft: Memory- aware fine-tuning of sam2 for efficient long-sequence video object segmentation,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:15.321502Z

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Observation 83936e27-00de-449a-921e-5f4127b1c5bb · outbound

This paper cites Dynamicvit: Efficient vision transformers with dynamic token sparsification,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Dynamicvit: Efficient vision transformers with dynamic token sparsification,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:15.437391Z

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Observation 8a736969-6d7f-457e-936d-76c9fe19ab07 · outbound

This paper cites Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:15.551554Z

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Observation 8c6f76cc-816b-4a88-a4ab-f3e366afff3f · outbound

This paper cites A-vit: Adaptive tokens for efficient vision transformer,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 A-vit: Adaptive tokens for efficient vision transformer,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:15.641108Z

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Observation 3775ea7b-8419-47d3-9706-b9ba53c3cc31 · outbound

This paper cites Token merging: Your vit but faster,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Token merging: Your vit but faster,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:15.747396Z

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Observation 064b6868-da69-448e-8d0d-f21cb85e81d8 · outbound

This paper cites Token merging for fast stable diffusion,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Token merging for fast stable diffusion,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:15.851407Z

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Observation 779f0f1f-99ba-4a15-8fc5-f2125282b347 · outbound

This paper cites Algm: Adaptive local-then-global token merging for efficient semantic segmentation with plain vision transformers,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Algm: Adaptive local-then-global token merging for efficient semantic segmentation with plain vision transformers,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:15.955835Z

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Observation a170162d-66d6-4dcc-8806-0b1272439568 · outbound

This paper cites Segformer++: Efficient token-merging strategies for high-resolution semantic segmen- tation,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Segformer++: Efficient token-merging strategies for high-resolution semantic segmen- tation,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:16.115392Z

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Observation a03c1dc6-77ea-44c7-a188-d5c5fed8b7f5 · outbound

This paper cites Efficient and robust video object segmentation through isogenous memory sampling and frame relation mining,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Efficient and robust video object segmentation through isogenous memory sampling and frame relation mining,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:16.277540Z

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Observation e99f47ba-ed4b-4fea-9656-a701dc60d1aa · outbound

This paper cites Beyond appearance: Multi-frame spatio-temporal context memory networks for efficient and robust video object segmentation,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Beyond appearance: Multi-frame spatio-temporal context memory networks for efficient and robust video object segmentation,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:16.474529Z

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Observation 4c98f7c3-9611-47b3-808b-7a5ae0a1ca6e · outbound

This paper cites Region aware video object segmentation with deep motion modeling,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Region aware video object segmentation with deep motion modeling,

Reference 58

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Observation 90fa3a78-4a96-43a6-8b40-2f85a8f6c2d7 · outbound

This paper cites Prototypical matching networks for video object segmentation,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Prototypical matching networks for video object segmentation,

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:16.685177Z

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Observation 571453d3-c755-4044-a6cf-3822b0598d95 · outbound

This paper cites Delving deeper into mask utilization in video object segmentation,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Delving deeper into mask utilization in video object segmentation,

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:16.832748Z

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Observation 805206b2-f423-44a1-815b-724b721704c3 · outbound

This paper cites Mosev2: A more challenging dataset for video object segmentation in complex scenes,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Mosev2: A more challenging dataset for video object segmentation in complex scenes,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:16.952037Z

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Observation bbaeee49-692d-4f58-b960-d46139a75054 · outbound

This paper cites Mose: A new dataset for video object segmentation in complex scenes,.

Lean-SAM2: Target-Anchored Memory and Encoder Acceleration for SAM2 Mose: A new dataset for video object segmentation in complex scenes,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-01T11:43:17.032956Z

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