FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation | Paper Citation Record

Observation ef5b46a3-d122-4214-a15e-f9f0ec477c68 · outbound

This paper cites Current and future colorectal cancer screening strategies.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Current and future colorectal cancer screening strategies

Reference 1

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This paper cites Reduction in colorectal cancer incidence by screening endoscopy.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Reduction in colorectal cancer incidence by screening endoscopy

Reference 2

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Observation 847f3f95-e3da-4ff9-9103-f101d2d84229 · outbound

This paper cites Frontiers in intelligent colonoscopy.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Frontiers in intelligent colonoscopy

Reference 3

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Observation 8ea9fe67-19ca-4eab-9223-bad0dfb681c7 · outbound

This paper cites Selective feature aggregation network with area-boundary constraints for polyp segmentation.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Selective feature aggregation network with area-boundary constraints for polyp segmentation

Reference 4

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Observation cdb2ffc3-e79a-4691-b0a7-df362ec1435d · outbound

This paper cites Pranet: Parallel reverse attention network for polyp segmentation.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Pranet: Parallel reverse attention network for polyp segmentation

Reference 5

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Observation c18ac3d4-86ff-4b50-88ff-320537b8129b · outbound

This paper cites Non-equivalent images and pixels: Confidence-aware resampling with meta-learning mixup for polyp segmentation.Medical image analysis, 78:102394, 2022.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Non-equivalent images and pixels: Confidence-aware resampling with meta-learning mixup for polyp segmentation.Medical image analysis, 78:102394, 2022

Reference 6

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Observation 1db6d02d-1881-4f16-bddc-ddaec9b000ac · outbound

This paper cites A deep weakly semi-supervised framework for endoscopic lesion segmentation.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation A deep weakly semi-supervised framework for endoscopic lesion segmentation

Reference 7

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Observation 0c64e617-5fc9-49e9-b235-07b7f889c770 · outbound

This paper cites Querynet: A unified framework for accurate polyp segmentation and detection.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Querynet: A unified framework for accurate polyp segmentation and detection

Reference 8

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Observation a770057d-8564-46f3-a1f6-0cc2c433cce2 · outbound

This paper cites Video polyp segmentation: A deep learning perspective.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Video polyp segmentation: A deep learning perspective

Reference 9

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Observation 5ebcd1a0-b8a6-49f2-a2d8-3a49fc13c291 · outbound

This paper cites Diff-vps: Video polyp segmentation via a multi-task diffusion network with adversarial temporal reasoning.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Diff-vps: Video polyp segmentation via a multi-task diffusion network with adversarial temporal reasoning

Reference 10

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Observation 56f41cfb-aa8f-4d7b-a4f4-0aec1062369d · outbound

This paper cites Vivim: a Video Vision Mamba for Medical Video Segmentation.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Vivim: a Video Vision Mamba for Medical Video Segmentation

Reference 11

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Observation 7abdaffd-c089-487c-b5fe-7ef1f94ba274 · outbound

This paper cites Sali: Short- term alignment and long-term interaction network for colonoscopy video polyp segmentation.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Sali: Short- term alignment and long-term interaction network for colonoscopy video polyp segmentation

Reference 12

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Observation 8ea9c8d5-0f5d-4691-be99-62c460bf0b95 · outbound

This paper cites Video instance segmentation.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Video instance segmentation

Reference 13

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Observation b9cda6fe-abf5-48cd-993e-e246a1b1d423 · outbound

This paper cites Sipmask: Spatial information preservation for fast image and video instance segmentation.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Sipmask: Spatial information preservation for fast image and video instance segmentation

Reference 14

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Observation fe2fbc53-0164-406d-9f78-39757c01a47d · outbound

This paper cites Sg-net: Spatial granularity network for one-stage video instance segmentation.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Sg-net: Spatial granularity network for one-stage video instance segmentation

Reference 15

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Observation 1d5d9e46-56d1-46e9-8250-4b6c8a725d06 · outbound

This paper cites Crossover learning for fast online video instance segmentation.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Crossover learning for fast online video instance segmentation

Reference 16

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Observation 052c732e-c734-468f-bcba-2d7586759a4c · outbound

This paper cites Deepsort: deep convolutional networks for sorting haploid maize seeds.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Deepsort: deep convolutional networks for sorting haploid maize seeds

Reference 17

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Observation 872bc87c-9ffe-472d-9b6a-896309b04dcd · outbound

This paper cites Tracking anything with decoupled video segmentation.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Tracking anything with decoupled video segmentation

Reference 18

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Observation 04eb8fcb-a316-4dca-ba7b-04594ce3bc03 · outbound

This paper cites Strongsort: Make deepsort great again.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Strongsort: Make deepsort great again

Reference 19

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Observation e305398a-0334-42ba-b737-86b985d4ada0 · outbound

This paper cites A new approach to linear filtering and prediction problems.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation A new approach to linear filtering and prediction problems

Reference 20

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This paper cites A strong baseline and batch normalization neck for deep person re-identification.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation A strong baseline and batch normalization neck for deep person re-identification

Reference 21

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Observation 21e1f1d8-1f50-4209-873f-a26c3e66a348 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation SAM 2: Segment Anything in Images and Videos

Reference 22

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Observation 5a73349e-7290-4b8e-a92e-99ff2df20464 · outbound

This paper cites Segment Anything for Videos: A Systematic Survey.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Segment Anything for Videos: A Systematic Survey

Reference 23

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Observation 3743a164-07d1-4cf3-a211-d30cc4cca597 · outbound

This paper cites Segment Anything in Medical Images and Videos: Benchmark and Deployment.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Segment Anything in Medical Images and Videos: Benchmark and Deployment

Reference 24

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Observation 42350f1c-4493-4bf9-89b8-8dffab3f3a32 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation U-net: Convolutional networks for biomedical image segmentation

Reference 25

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Observation fd6806cc-37e2-4f84-96af-c8a099434cc4 · outbound

This paper cites Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers

Reference 26

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Observation c4dfd964-6f33-45fa-94d2-63ab02e38713 · outbound

This paper cites Polyp-mamba: Polyp segmentation with visual mamba.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Polyp-mamba: Polyp segmentation with visual mamba

Reference 27

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Observation ebd249b9-101e-4997-acbe-8d450ae64a46 · outbound

This paper cites Toward em- bedded detection of polyps in wce images for early diagnosis of colorectal cancer.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Toward em- bedded detection of polyps in wce images for early diagnosis of colorectal cancer

Reference 28

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Observation 8d9c1123-a73e-438b-b7e9-aff2ba0a6a01 · outbound

This paper cites Wm-dova maps for accurate polyp highlighting in colonoscopy: Val- idation vs.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Wm-dova maps for accurate polyp highlighting in colonoscopy: Val- idation vs

Reference 29

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Observation e817ed57-be2c-4d9d-a368-ab87eaa835b8 · outbound

This paper cites Automated polyp detection in colonoscopy videos using shape and context information.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Automated polyp detection in colonoscopy videos using shape and context information

Reference 30

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Observation 3e5de519-0dcf-4147-969e-c28184c3da2f · outbound

This paper cites A benchmark for endoluminal scene segmentation of colonoscopy images.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation A benchmark for endoluminal scene segmentation of colonoscopy images

Reference 31

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Observation a574e09a-29be-40b1-a218-81b48bbb24f9 · outbound

This paper cites Kvasir-seg: A segmented polyp dataset.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Kvasir-seg: A segmented polyp dataset

Reference 32

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Observation ddd61c9e-cb09-48c8-9772-3599ef687ab0 · outbound

This paper cites Benchmarking polyp segmentation methods in narrow- band imaging colonoscopy images.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Benchmarking polyp segmentation methods in narrow- band imaging colonoscopy images

Reference 33

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Observation c0de85d0-f4d0-45a4-9cb0-16b620d58635 · outbound

This paper cites Endoscopic polyp segmentation using a hybrid 2d/3d cnn.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Endoscopic polyp segmentation using a hybrid 2d/3d cnn

Reference 34

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Observation 006a9b58-68e5-446f-916f-c2147d6f80ce · outbound

This paper cites Progressively normalized self-attention network for video polyp segmentation.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Progressively normalized self-attention network for video polyp segmentation

Reference 35

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Observation b49ac9cf-bb9b-49a8-8048-7aacc59c4951 · outbound

This paper cites An embedding-unleashing video polyp segmentation framework via region linking and scale alignment.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation An embedding-unleashing video polyp segmentation framework via region linking and scale alignment

Reference 36

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Observation 1dc3725c-c640-4ad1-bc4d-231a6406d4b3 · outbound

This paper cites Video object segmentation using space-time memory networks.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Video object segmentation using space-time memory networks

Reference 37

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Observation f3cf72db-e2b3-4484-9a2a-9658d4413c99 · outbound

This paper cites Learning what to learn for video object segmentation.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Learning what to learn for video object segmentation

Reference 38

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Observation 5e11e754-7637-4a5c-bb4b-e7cc7b98f8cc · outbound

This paper cites Learning fast and robust target models for video object segmentation.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Learning fast and robust target models for video object segmentation

Reference 39

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Observation 8c683e43-1dbd-4d99-bc51-da40ac58d1d1 · outbound

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

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Rethinking space-time networks with improved memory coverage for efficient video object segmentation

Reference 40

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Observation 7ce06335-4bd5-45e6-a04f-417260d993cf · outbound

This paper cites Video object segmentation using kernelized memory network with multiple kernels.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Video object segmentation using kernelized memory network with multiple kernels

Reference 41

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Observation ed137518-2281-4727-9952-f290beee25fa · outbound

This paper cites Boosting video object segmentation via space-time correspondence learning.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Boosting video object segmentation via space-time correspondence learning

Reference 42

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Observation 7a0af24f-033b-494e-82a2-51bacd051e66 · outbound

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

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

Reference 43

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Observation 31ab42f7-a86f-4c91-a153-f91abef7ca0f · outbound

This paper cites SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree

Reference 44

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Observation b8d0b5b5-f3fb-4f83-999a-a15592e02808 · outbound

This paper cites A Distractor-Aware Memory for Visual Object Tracking with SAM2.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation A Distractor-Aware Memory for Visual Object Tracking with SAM2

Reference 45

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Observation 0ba90a7c-f19e-4b77-bb56-77e41fc7c3b7 · outbound

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

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation End-to-end object detection with transformers

Reference 46

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This paper cites The hungarian method for the assignment problem.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation The hungarian method for the assignment problem

Reference 47

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Observation 0406bb48-c012-4b11-90ef-7c5d732aeee8 · outbound

This paper cites Piccolo white-light and narrow-band imaging colonoscopic dataset: A performance comparative of models and datasets.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Piccolo white-light and narrow-band imaging colonoscopic dataset: A performance comparative of models and datasets

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:38:05.541814Z

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Observation 6e091dec-49c0-4e11-9a54-5832d77e0b25 · outbound

This paper cites A multi- centre polyp detection and segmentation dataset for generalisability assessment.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation A multi- centre polyp detection and segmentation dataset for generalisability assessment

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:38:05.527608Z

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Observation b062a769-96c0-4e58-9b87-7a517d2bc228 · outbound

This paper cites Polyper: Boundary sensitive polyp segmentation.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Polyper: Boundary sensitive polyp segmentation

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:38:05.512754Z

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Observation 486f5bf0-3628-4ae9-bfa8-800e3090f416 · outbound

This paper cites Efficient semantic video segmentation with per-frame inference.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Efficient semantic video segmentation with per-frame inference

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:38:05.497082Z

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Observation 8cb4c42c-ecac-4cfa-ad9c-66aa556e5ac0 · outbound

This paper cites Hiera: A hierarchical vision transformer without the bells-and-whistles.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Hiera: A hierarchical vision transformer without the bells-and-whistles

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:38:05.481834Z

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Observation 223a5bed-071d-44b0-ae5e-e8ad56977c82 · outbound

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

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Pytorch: An imperative style, high-performance deep learning library

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-05T15:38:04.716008Z

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Unavailable: canonical work link unavailable.

Observation e1c52dd0-6a65-48f4-b9eb-8f223cd55d13 · outbound

This paper cites Ultralytics yolo11, 2024.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Ultralytics yolo11, 2024

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-05T15:38:04.720426Z

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Observation 7fed3a0a-6647-4d47-bc08-def9e3939fec · outbound

This paper cites Relation detr: Exploring explicit position relation prior for object detection.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Relation detr: Exploring explicit position relation prior for object detection

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:38:05.447008Z

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Observation 5fba00fd-f2d0-4d90-bebb-91fd261db28b · outbound

This paper cites Tsdetector: Temporal–spatial self-correction collaborative learning for colonoscopy video detection.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Tsdetector: Temporal–spatial self-correction collaborative learning for colonoscopy video detection

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:38:05.432129Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 633013c5-b87d-42e8-8723-4c94903ce8db · outbound

This paper cites Masked-attention mask transformer for universal image segmentation.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Masked-attention mask transformer for universal image segmentation

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:38:05.416626Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2ad21bd4-5070-4ed8-8f84-25b9c9df7d01 · outbound

This paper cites Ctvis: Consistent training for online video instance segmentation.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Ctvis: Consistent training for online video instance segmentation

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:38:05.402529Z

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Observation 3654d971-1464-4da4-8dea-1e66f4fc1bc8 · outbound

This paper cites an unresolved cited work.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-05T15:38:05.387916Z

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Observation 83acba99-6fba-4a5c-87bf-9a36016c2ab8 · outbound

This paper cites Mask r-cnn.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Mask r-cnn

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:38:05.374535Z

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Observation 272081a3-4316-413c-bbdc-00026629e047 · outbound

This paper cites #IMG" and “#VID.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation #IMG" and “#VID

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:38:05.361049Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d129577f-6ef7-447b-9b75-22bb953d8440 · outbound

This paper cites Our experimental results also support our claim.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Our experimental results also support our claim

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:38:05.341879Z

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Observation 02589928-bdc2-40b0-9210-709dd4820e0a · outbound

This paper cites Limitations.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Limitations

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:38:05.327501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d8f6ea5c-84e5-4bd8-a840-40420721a5b8 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include theoretical results.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Guidelines: • The answer NA means that the paper does not include theoretical results

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:38:05.312551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 52a9e5fc-096b-4e89-92d9-4c7868693651 · outbound

This paper cites The detailed training setting and experimental setup are given in Section 4.2.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation The detailed training setting and experimental setup are given in Section 4.2

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:38:05.297572Z

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Observation e35ac2b0-601c-411c-90e0-338989426c62 · outbound

This paper cites The detailed descriptions of these datasets are presented in Section 4.1 and Appx.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation The detailed descriptions of these datasets are presented in Section 4.1 and Appx

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:38:05.282758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7852e8d7-5484-4ca1-886d-a04839504674 · outbound

This paper cites The trained model and code will be released after the review period.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation The trained model and code will be released after the review period

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:38:05.268235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0a96908c-d25e-4aef-aa51-cd063440f2eb · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include experiments.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Guidelines: • The answer NA means that the paper does not include experiments

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:38:05.253113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7f559006-8bde-45ef-a913-05773cf85b3f · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include experiments.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Guidelines: • The answer NA means that the paper does not include experiments

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:38:05.238185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7e41f161-0928-4095-8fbf-e6550a39163e · outbound

This paper cites Guidelines: • The answer NA means that the authors have not reviewed the NeurIPS Code of Ethics.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Guidelines: • The answer NA means that the authors have not reviewed the NeurIPS Code of Ethics

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:38:05.223440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 74b2063a-4e98-4e1a-a0e1-cdd1209ba7c2 · outbound

This paper cites Please refer to Appx.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Please refer to Appx

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:38:05.208400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e63d2049-f7de-4217-890b-a8709562a21c · outbound

This paper cites Guidelines: • The answer NA means that the paper poses no such risks.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Guidelines: • The answer NA means that the paper poses no such risks

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:38:05.191632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d2c44cd3-61a0-4d85-8b67-ef0571e6fdb3 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not use existing assets.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Guidelines: • The answer NA means that the paper does not use existing assets

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:38:05.174204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b7855519-52f0-4e85-8f37-07dc9b219e99 · outbound

This paper cites an unresolved cited work.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Unresolved cited work

Reference 74

Resolution: unresolved; raw_fallback, observed 2026-08-05T15:38:05.156676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 42d801f7-4744-4a95-92ac-83d79bcada3f · outbound

This paper cites Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:38:05.140903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 123c1c67-2764-4682-844e-fb09ffa715df · outbound

This paper cites Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:38:05.124264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5d7dd02c-db3d-4cc2-9b4c-48647d8bbe75 · outbound

This paper cites Answer: [NA] Justification: Our research does not involve LLMs as any important, original, or non-standard components.

FreeVPS: Repurposing Training-Free SAM2 for Generalizable Video Polyp Segmentation Answer: [NA] Justification: Our research does not involve LLMs as any important, original, or non-standard components

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:38:05.107294Z

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