ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation | Paper Citation Record

Observation a76b02e0-5f5f-43a9-ab10-9ff62a956770 · outbound

This paper cites Global cancer statistics 2022: Globocan estimates of incidence and mortality worldwide for 36 cancers in 185 countries,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Global cancer statistics 2022: Globocan estimates of incidence and mortality worldwide for 36 cancers in 185 countries,

Reference 1

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Observation 2841443b-78e6-4715-870d-d4a753bd1859 · outbound

This paper cites Comparative validation of polyp detection methods in video colonoscopy: results from the miccai 2015 endoscopic vision challenge,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Comparative validation of polyp detection methods in video colonoscopy: results from the miccai 2015 endoscopic vision challenge,

Reference 2

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Observation ac88d8a8-dbaa-4fc6-bceb-bc9bba37d189 · outbound

This paper cites Context-aware convolutional neural network for grading of colorectal cancer histology images,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Context-aware convolutional neural network for grading of colorectal cancer histology images,

Reference 3

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Observation 2ae5e988-224f-48a1-b233-433441a20875 · outbound

This paper cites Progressively normalized self-attention network for video polyp seg- mentation,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Progressively normalized self-attention network for video polyp seg- mentation,

Reference 4

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Observation dbfe5b4c-524f-4fb9-8eb1-c95d61d28986 · outbound

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

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Video polyp segmentation: A deep learning perspective,

Reference 5

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Observation 2db099fb-a38a-488d-ad3e-d25883c64d06 · outbound

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

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Sali: Short- term alignment and long-term interaction network for colonoscopy video polyp segmentation,

Reference 6

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Observation 5edceb31-6493-41e0-92ba-2af7ca42b3e1 · outbound

This paper cites Stddnet: Harnessing mamba for video polyp segmentation via spatial-aligned temporal modeling and discrim- inative dynamic representation learning,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Stddnet: Harnessing mamba for video polyp segmentation via spatial-aligned temporal modeling and discrim- inative dynamic representation learning,

Reference 7

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Observation ec874652-3a8a-4722-b189-60ed2eddd2de · outbound

This paper cites Cmsa-net: Causal multi-scale aggregation with adaptive multi-source reference for video polyp segmentation,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Cmsa-net: Causal multi-scale aggregation with adaptive multi-source reference for video polyp segmentation,

Reference 8

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Observation a0454da0-88a7-4553-af12-95925e7eba9e · outbound

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

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Pranet: Parallel reverse attention network for polyp segmentation,

Reference 9

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Observation 3304b2ba-fc52-43f1-8622-24c3a03a02fa · outbound

This paper cites Polyp segmentation via semantic en- hanced perceptual network,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Polyp segmentation via semantic en- hanced perceptual network,

Reference 10

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Observation 5bab6141-bbe1-40ce-90a1-8ac6b1f8777c · outbound

This paper cites Polypseg+: A lightweight context-aware network for real-time polyp segmentation,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Polypseg+: A lightweight context-aware network for real-time polyp segmentation,

Reference 11

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Observation 2f54703b-2744-4d64-8e69-66ea97dbce32 · outbound

This paper cites Epsegnet: Lightweight semantic recalibration and assembly for efficient polyp segmentation,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Epsegnet: Lightweight semantic recalibration and assembly for efficient polyp segmentation,

Reference 12

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Observation a2901186-d987-4194-9123-e762fb94f1c9 · outbound

This paper cites Ctnet: Contrastive transformer network for polyp segmentation,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Ctnet: Contrastive transformer network for polyp segmentation,

Reference 13

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Observation d66ca473-3786-4352-916c-8995ea869d9c · outbound

This paper cites The devil is in the boundary: Boundary-enhanced polyp segmentation,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation The devil is in the boundary: Boundary-enhanced polyp segmentation,

Reference 14

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Observation 3fcf6e7c-bae9-49af-aad8-22d9738626be · outbound

This paper cites Structure-consistent weakly supervised salient object detection with local saliency coherence,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Structure-consistent weakly supervised salient object detection with local saliency coherence,

Reference 15

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Observation b7f4bd09-b441-429e-973c-3aa6bd4775a0 · outbound

This paper cites Weakly-supervised camouflaged object detection with scribble annotations,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Weakly-supervised camouflaged object detection with scribble annotations,

Reference 16

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Observation cb02f969-e332-4569-a1aa-7e9512dd5e46 · outbound

This paper cites Tree energy loss: Towards sparsely annotated semantic segmentation,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Tree energy loss: Towards sparsely annotated semantic segmentation,

Reference 17

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Observation 69bb0c69-0825-4bb6-9a17-618d94651914 · outbound

This paper cites Mean teachers are better role mod- els: Weight-averaged consistency targets improve semi-supervised deep learning results,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Mean teachers are better role mod- els: Weight-averaged consistency targets improve semi-supervised deep learning results,

Reference 18

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Observation 4e4ca054-8aba-47d6-89dd-6928ea574cf0 · outbound

This paper cites Mcf: Mutual correction framework for semi-supervised medical image segmentation,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Mcf: Mutual correction framework for semi-supervised medical image segmentation,

Reference 19

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Observation de58fda5-91b5-443f-b02d-d371f4499285 · outbound

This paper cites Caussl: Causality- inspired semi-supervised learning for medical image segmentation,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Caussl: Causality- inspired semi-supervised learning for medical image segmentation,

Reference 20

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Observation 8897b9e5-3503-4b8a-9807-fecd10096c30 · outbound

This paper cites Cross-view mutual learning for semi-supervised medical image segmentation,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Cross-view mutual learning for semi-supervised medical image segmentation,

Reference 21

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Observation 8687e915-6bc4-472d-9d96-1aa87a963b1a · outbound

This paper cites Alternate diverse teaching for semi-supervised medical image segmentation,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Alternate diverse teaching for semi-supervised medical image segmentation,

Reference 22

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Observation 36866eff-7d27-4882-9f84-953e8d8dbccc · outbound

This paper cites Segment anything,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Segment anything,

Reference 23

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Observation 38ff05fe-ef7e-4f6d-a43f-9a2b4e06435b · outbound

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

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation SAM 2: Segment Anything in Images and Videos

Reference 24

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Observation 084abdbd-30a3-449a-b342-42d531f02e69 · outbound

This paper cites Weakly-supervised concealed object segmentation with sam- based pseudo labeling and multi-scale feature grouping,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Weakly-supervised concealed object segmentation with sam- based pseudo labeling and multi-scale feature grouping,

Reference 25

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Observation ee6ac3c2-621a-4ee6-b904-d32f3d0b539c · outbound

This paper cites Weakpolyp-sam: Segment anything model-driven weakly-supervised polyp segmentation,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Weakpolyp-sam: Segment anything model-driven weakly-supervised polyp segmentation,

Reference 26

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Observation 2eeadae0-a681-4684-932e-7856ec082b26 · outbound

This paper cites Segment concealed objects with incomplete supervision,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Segment concealed objects with incomplete supervision,

Reference 27

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Observation 4c67458d-d102-4eb2-ac20-03d3d980433e · outbound

This paper cites Sam-cod+: Sam-guided unified framework for weakly-supervised camouflaged object detection,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Sam-cod+: Sam-guided unified framework for weakly-supervised camouflaged object detection,

Reference 28

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Observation ff59349d-535f-4093-84c2-2183f415a8c1 · outbound

This paper cites Debate-Enhanced Pseudo Labeling and Frequency-Aware Progressive Debiasing for Weakly-Supervised Camouflaged Object Detection with Scribble Annotations.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Debate-Enhanced Pseudo Labeling and Frequency-Aware Progressive Debiasing for Weakly-Supervised Camouflaged Object Detection with Scribble Annotations

Reference 29

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Observation f197b79b-4a47-4dbf-83b0-ae66273d6fe4 · outbound

This paper cites Relax image-specific prompt re- quirement in sam: A single generic prompt for segmenting camouflaged objects,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Relax image-specific prompt re- quirement in sam: A single generic prompt for segmenting camouflaged objects,

Reference 30

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Observation 9bdbf718-c4fa-4309-9299-75826008d9c7 · outbound

This paper cites Sam-adapter: Adapting segment anything in underperformed scenes,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Sam-adapter: Adapting segment anything in underperformed scenes,

Reference 31

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Observation 02e53b4a-0ecf-4b74-b9d4-cde90b2f227e · outbound

This paper cites St-sam: Sam-driven self- training framework for semi-supervised camouflaged object detection,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation St-sam: Sam-driven self- training framework for semi-supervised camouflaged object detection,

Reference 32

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Observation efc01c43-d904-43d3-92f6-63e138874620 · outbound

This paper cites Learnable prompting sam-induced knowledge distillation for semi- supervised medical image segmentation,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Learnable prompting sam-induced knowledge distillation for semi- supervised medical image segmentation,

Reference 33

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Observation 5ab0286f-fbe5-4667-b848-6dd21750487b · outbound

This paper cites Asgnet: Adaptive spectrum guidance network for automatic polyp segmentation,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Asgnet: Adaptive spectrum guidance network for automatic polyp segmentation,

Reference 34

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Observation 23f00d38-adb8-49f8-a89f-513cc2bfac86 · outbound

This paper cites Domain-interactive contrastive learning and prototype-guided self-training for cross-domain polyp segmentation,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Domain-interactive contrastive learning and prototype-guided self-training for cross-domain polyp segmentation,

Reference 35

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Observation 503b8a3a-f590-4d76-916d-ae03a673afb4 · outbound

This paper cites Wavepolyp: Video polyp segmentation via hierarchical wavelet-based feature aggregation and inter-frame divergence perception,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Wavepolyp: Video polyp segmentation via hierarchical wavelet-based feature aggregation and inter-frame divergence perception,

Reference 36

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Observation fd3e1c21-e43b-43b4-9413-88d760048228 · outbound

This paper cites Hfsti-net: Hierarchical frequency-spatial-temporal interactions for video polyp segmentation,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Hfsti-net: Hierarchical frequency-spatial-temporal interactions for video polyp segmentation,

Reference 37

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Observation 39baa0a1-0de1-46d9-b779-d1bea2a2a397 · outbound

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

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation An embedding-unleashing video polyp segmentation framework via region linking and scale alignment,

Reference 38

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Observation e4db3d52-7457-4557-81e5-251290877b9b · outbound

This paper cites Leveraging hallucinations to reduce manual prompt dependency in promptable segmentation,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Leveraging hallucinations to reduce manual prompt dependency in promptable segmentation,

Reference 39

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Observation 712cfa25-bb73-49a4-ba52-4de33fcf9bfc · outbound

This paper cites Group-wise learning for weakly supervised semantic segmentation,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Group-wise learning for weakly supervised semantic segmentation,

Reference 40

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Observation 34999bb2-0cca-4486-8ec2-998bd9e220e9 · outbound

This paper cites Pixel-level domain adaptation: A new perspective for enhancing weakly supervised semantic segmentation,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Pixel-level domain adaptation: A new perspective for enhancing weakly supervised semantic segmentation,

Reference 41

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Observation 24eee817-2ada-41de-9089-c09a63543410 · outbound

This paper cites Weakly supervised semantic segmentation via alternate self- dual teaching,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Weakly supervised semantic segmentation via alternate self- dual teaching,

Reference 42

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Observation 3495ef42-e6e5-4901-950a-2905a9bd9cdc · outbound

This paper cites Weaktr: Exploring plain vision transformer for weakly-supervised semantic seg- mentation,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Weaktr: Exploring plain vision transformer for weakly-supervised semantic seg- mentation,

Reference 43

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Observation b483df28-0713-4e69-9168-e718fee06a09 · outbound

This paper cites Semi-supervised spatial temporal attention network for video polyp segmentation,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Semi-supervised spatial temporal attention network for video polyp segmentation,

Reference 44

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Observation ed12bf04-3874-4234-8c31-2049d8b08816 · outbound

This paper cites Boost the inference with co-training: A depth-guided mutual learning framework for semi- supervised medical polyp segmentation,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Boost the inference with co-training: A depth-guided mutual learning framework for semi- supervised medical polyp segmentation,

Reference 45

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Observation dd3ad7f4-efa7-4c53-811b-fc9690d0d884 · outbound

This paper cites Vpsentry: Semi-supervised video polyp segmentation via sentry-guided long-term prototype fusion with correlation dynamic propagation,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Vpsentry: Semi-supervised video polyp segmentation via sentry-guided long-term prototype fusion with correlation dynamic propagation,

Reference 46

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Observation 1802293e-bdb7-45b1-9442-fe579276868e · outbound

This paper cites Uncertainty-aware cross-training for semi-supervised medical image segmentation,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Uncertainty-aware cross-training for semi-supervised medical image segmentation,

Reference 47

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Observation 2218234c-3276-4a24-aaaf-aa6ef715c130 · outbound

This paper cites Boundary-aware prototype in semi-supervised medical image segmentation,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Boundary-aware prototype in semi-supervised medical image segmentation,

Reference 48

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Observation 790c6ae6-21a4-46aa-b294-64053676a30c · outbound

This paper cites Background matters: A cross-view bidirec- tional modeling framework for semi-supervised medical image segmen- tation,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Background matters: A cross-view bidirec- tional modeling framework for semi-supervised medical image segmen- tation,

Reference 49

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Observation 3f4a8c42-78bd-4170-b36d-7b498214f1b8 · outbound

This paper cites Minet: Weakly-supervised camouflaged object detection through mutual interaction between region and edge cues,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Minet: Weakly-supervised camouflaged object detection through mutual interaction between region and edge cues,

Reference 50

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Observation 2622ee71-136f-4e1d-924f-9c77d93f8b53 · outbound

This paper cites Progressive representation learning for weakly-supervised camouflaged object detection,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Progressive representation learning for weakly-supervised camouflaged object detection,

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Observation 508b2b19-56b7-41cb-be9b-16ceb54d15fc · outbound

This paper cites Imagpose: A unified conditional framework for pose-guided person generation,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Imagpose: A unified conditional framework for pose-guided person generation,

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Observation 4018859b-c655-45ff-b686-f721dc5dd392 · outbound

This paper cites Advancing pose-guided image synthesis with progressive conditional diffusion models,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Advancing pose-guided image synthesis with progressive conditional diffusion models,

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ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate

Reference 54

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ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Encouraging divergent thinking in large language models through multi-agent debate,

Reference 55

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ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Scaling large language model-based multi- agent collaboration,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-06-26T18:11:20.915411Z

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This paper cites Superpixel-guided iterative learning from noisy labels for medical image segmentation,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Superpixel-guided iterative learning from noisy labels for medical image segmentation,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-06-26T18:11:20.915411Z

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ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Qwen2.5-VL Technical Report

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-07-04T03:19:31.383344Z

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This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-07-04T03:19:31.390002Z

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This paper cites Pvt v2: Improved baselines with pyramid vision transformer,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Pvt v2: Improved baselines with pyramid vision transformer,

Reference 60

Resolution: unresolved; no resolver link, observed 2026-06-26T18:11:20.915411Z

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This paper cites WM-DOV A maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation WM-DOV A maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians,

Reference 61

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This paper cites Structure-measure: A new way to evaluate foreground maps,.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Structure-measure: A new way to evaluate foreground maps,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-06-26T18:11:20.915411Z

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This paper cites Enhanced-alignment Measure for Binary Foreground Map Evaluation.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation Enhanced-alignment Measure for Binary Foreground Map Evaluation

Reference 63

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Observation 269b6ab9-db1e-4dda-9611-6e4390c7e324 · outbound

This paper cites How to evaluate fore- ground maps?.

ARTEMIS: Agent-guided Reliability-aware Temporal Mask Evolution for Imperfectly Supervised Video Polyp Segmentation How to evaluate fore- ground maps?

Reference 64

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