Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation | Paper Citation Record

Observation 64f44b80-0a74-4fbf-821c-ab0c9bb50a73 · outbound

This paper cites Training language models to follow instructions with human feedback,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Training language models to follow instructions with human feedback,

Reference 1

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This paper cites Segment anything,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Segment anything,

Reference 2

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This paper cites Learning transferable visual models from natural language supervision,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Learning transferable visual models from natural language supervision,

Reference 3

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This paper cites LLaMA: Open and Efficient Foundation Language Models.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation LLaMA: Open and Efficient Foundation Language Models

Reference 4

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Observation f4e398eb-8e8d-42aa-9f03-0f0ebcc05fdb · outbound

This paper cites NP-SemiSeg: When neural processes meet semi-supervised semantic segmentation,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation NP-SemiSeg: When neural processes meet semi-supervised semantic segmentation,

Reference 5

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This paper cites Meta-learning in neural networks: A survey,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Meta-learning in neural networks: A survey,

Reference 6

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This paper cites Knowledge-guided semantic transfer network for few-shot image recognition,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Knowledge-guided semantic transfer network for few-shot image recognition,

Reference 7

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This paper cites Few-shot image recognition with knowledge transfer,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Few-shot image recognition with knowledge transfer,

Reference 8

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Observation f9bfe350-bebd-4b94-8efc-84dcea561005 · outbound

This paper cites Few-shot cross-domain object detection with instance-level prototype-based meta-learning,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Few-shot cross-domain object detection with instance-level prototype-based meta-learning,

Reference 9

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Observation b59d8246-b13a-427b-8566-66e5e0f6e7f5 · outbound

This paper cites Mul-sno: a novel prediction tool for s-nitrosylation sites based on deep learning methods,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Mul-sno: a novel prediction tool for s-nitrosylation sites based on deep learning methods,

Reference 10

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This paper cites Deep collaborative embedding for social image understanding,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Deep collaborative embedding for social image understanding,

Reference 11

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This paper cites Medical image segmentation review: The success of u-net,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Medical image segmentation review: The success of u-net,

Reference 12

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This paper cites Slowfast diversity-aware prototype learning for egocentric action recognition,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Slowfast diversity-aware prototype learning for egocentric action recognition,

Reference 13

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Observation 48b51402-5600-473c-9214-ac50f29247fa · outbound

This paper cites Gpt4ego: Unleashing the potential of pre-trained models for zero-shot egocentric action recognition,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Gpt4ego: Unleashing the potential of pre-trained models for zero-shot egocentric action recognition,

Reference 14

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This paper cites Thinkmat- ter: Panoramic-aware instructional semantics for monocular vision-and- language navigation,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Thinkmat- ter: Panoramic-aware instructional semantics for monocular vision-and- language navigation,

Reference 15

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This paper cites Survey of single image super-resolution reconstruction,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Survey of single image super-resolution reconstruction,

Reference 16

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This paper cites An efficient encoder-decoder architecture with top-down attention for speech separation,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation An efficient encoder-decoder architecture with top-down attention for speech separation,

Reference 17

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Observation 3475f3ac-3ae9-4878-b266-0bdc9dc6cb5e · outbound

This paper cites The genomic basis of adaptive evolution in threespine sticklebacks,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation The genomic basis of adaptive evolution in threespine sticklebacks,

Reference 18

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Observation 35ebc483-3d32-4d8b-9ede-36b21eec5b38 · outbound

This paper cites Context disentangling and prototype inheriting for robust visual grounding,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Context disentangling and prototype inheriting for robust visual grounding,

Reference 19

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This paper cites Ssp-sam: Sam with semantic-spatial prompt for referring expression segmentation,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Ssp-sam: Sam with semantic-spatial prompt for referring expression segmentation,

Reference 20

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This paper cites Efficient audio-visual speech separation with discrete lip semantics and multi-scale global-local attention,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Efficient audio-visual speech separation with discrete lip semantics and multi-scale global-local attention,

Reference 21

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This paper cites Carroll,Through the Looking-Glass: and What Alice Saw There.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Carroll,Through the Looking-Glass: and What Alice Saw There

Reference 22

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Observation 531f154b-4864-45a2-b0aa-7925c0f6db4c · outbound

This paper cites Hyperbolic insights with knowledge distillation for cross-domain few-shot learning,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Hyperbolic insights with knowledge distillation for cross-domain few-shot learning,

Reference 23

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Observation 134bc217-d6e3-42c5-b829-21553c86d6d0 · outbound

This paper cites A two-stage approach to few-shot learning for image recognition,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation A two-stage approach to few-shot learning for image recognition,

Reference 24

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This paper cites Enhanc- ing information maximization with distance-aware contrastive learning for source-free cross-domain few-shot learning,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Enhanc- ing information maximization with distance-aware contrastive learning for source-free cross-domain few-shot learning,

Reference 25

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This paper cites Generalized odin: Detecting out-of-distribution image without learning from out-of-distribution data,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Generalized odin: Detecting out-of-distribution image without learning from out-of-distribution data,

Reference 26

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This paper cites Sequence homology score-based deep fuzzy network for identifying therapeutic peptides,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Sequence homology score-based deep fuzzy network for identifying therapeutic peptides,

Reference 27

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This paper cites Seg4diff: Unveiling open-vocabulary semantic segmentation in text-to-image diffusion transformers,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Seg4diff: Unveiling open-vocabulary semantic segmentation in text-to-image diffusion transformers,

Reference 28

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This paper cites Exploring efficient open-vocabulary segmentation in the remote sensing,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Exploring efficient open-vocabulary segmentation in the remote sensing,

Reference 29

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This paper cites Learning attention-guided pyrami- dal features for few-shot fine-grained recognition,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Learning attention-guided pyrami- dal features for few-shot fine-grained recognition,

Reference 30

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This paper cites Recent advances in predicting protein s- nitrosylation sites,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Recent advances in predicting protein s- nitrosylation sites,

Reference 31

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This paper cites Cross-modal contrastive learning network for few-shot action recognition,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Cross-modal contrastive learning network for few-shot action recognition,

Reference 32

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This paper cites Opmapper: Enhancing open-vocabulary semantic segmentation with multi-guidance information,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Opmapper: Enhancing open-vocabulary semantic segmentation with multi-guidance information,

Reference 33

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This paper cites A closer look at the few-shot adaptation of large vision-language models,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation A closer look at the few-shot adaptation of large vision-language models,

Reference 34

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This paper cites Advances and challenges in meta-learning: A technical re- view,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Advances and challenges in meta-learning: A technical re- view,

Reference 35

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This paper cites Zero-shot neural architecture search: Challenges, solutions, and opportunities,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Zero-shot neural architecture search: Challenges, solutions, and opportunities,

Reference 36

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This paper cites Tapb: an interventional debiasing framework for alleviating target prior bias in drug-target interaction prediction,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Tapb: an interventional debiasing framework for alleviating target prior bias in drug-target interaction prediction,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:32:07.515900Z

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This paper cites Heteroge- neous graph neural network,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Heteroge- neous graph neural network,

Reference 38

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This paper cites Cross-heterogeneity graph few-shot learning,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Cross-heterogeneity graph few-shot learning,

Reference 39

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This paper cites Weakly supervised object detection using proposal- and semantic-level relationships,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Weakly supervised object detection using proposal- and semantic-level relationships,

Reference 40

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This paper cites Improving pedestrian attribute recognition with weakly-supervised multi-scale attribute-specific local- ization,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Improving pedestrian attribute recognition with weakly-supervised multi-scale attribute-specific local- ization,

Reference 41

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This paper cites Weakly supervised object localization and detection: A survey,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Weakly supervised object localization and detection: A survey,

Reference 42

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This paper cites Scale-aware graph neural network for few-shot semantic segmentation,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Scale-aware graph neural network for few-shot semantic segmentation,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:32:07.431856Z

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This paper cites Few-shot se- mantic segmentation with cyclic memory network,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Few-shot se- mantic segmentation with cyclic memory network,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:32:07.416938Z

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Observation 4afa306e-3e7c-4e8a-bee8-36c357befa52 · outbound

This paper cites Semantically meaningful class prototype learning for one-shot image segmentation,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Semantically meaningful class prototype learning for one-shot image segmentation,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:32:07.401823Z

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Observation f20db303-a7a6-4034-95c7-7b05b22da802 · outbound

This paper cites A self-supervised-driven open-set un- supervised domain adaptation method for optical remote sensing image scene classification and retrieval,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation A self-supervised-driven open-set un- supervised domain adaptation method for optical remote sensing image scene classification and retrieval,

Reference 46

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Observation f355470e-9d1a-44c4-91f1-76c26ec6b46f · outbound

This paper cites Weakly supervised one shot segmentation,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Weakly supervised one shot segmentation,

Reference 47

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Observation 1feee736-3b5e-4fc7-bca5-3b8e927835f6 · outbound

This paper cites Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Embeddings.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Embeddings

Reference 48

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Observation 69694826-83cf-4e18-b112-817ee60b329f · outbound

This paper cites A pixel-level meta-learner for weakly supervised few-shot semantic segmentation,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation A pixel-level meta-learner for weakly supervised few-shot semantic segmentation,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:32:07.357496Z

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Observation b15e291f-e862-47a6-a735-33df7e87ccef · outbound

This paper cites Weakly-supervised object represen- tation learning for few-shot semantic segmentation,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Weakly-supervised object represen- tation learning for few-shot semantic segmentation,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:32:07.341052Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ee07aa61-405f-43c5-b77e-e18970dc39c1 · outbound

This paper cites Iterative Few-shot Semantic Segmentation from Image Label Text.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Iterative Few-shot Semantic Segmentation from Image Label Text

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-08-05T17:32:06.966921Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 48ab11f1-b6c0-4c20-9a23-c2b28a4e2492 · outbound

This paper cites Weakly supervised few-shot and zero-shot semantic segmentation with mean instance aware prompt learning,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Weakly supervised few-shot and zero-shot semantic segmentation with mean instance aware prompt learning,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:32:07.325355Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fdad794a-ce61-4e3b-95c3-77588b4f502f · outbound

This paper cites Afanet: Adaptive frequency-aware network for weakly-supervised few-shot semantic segmentation,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Afanet: Adaptive frequency-aware network for weakly-supervised few-shot semantic segmentation,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:32:07.309578Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9b36d58c-ac5a-4d1d-8b4f-e59774bb4cfc · outbound

This paper cites Learning deep features for discriminative localization,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Learning deep features for discriminative localization,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:32:07.294344Z

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Observation 36129401-85b3-4c68-a460-8e0ff7158c26 · outbound

This paper cites Hsnet: A hybrid semantic network for polyp segmentation,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Hsnet: A hybrid semantic network for polyp segmentation,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:32:07.277399Z

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Observation 2451d90c-efdd-491b-9f7d-893326ec1221 · outbound

This paper cites Attention is all you need,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Attention is all you need,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:32:07.262583Z

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Observation b65d548a-60a5-41cb-84af-6cee513ab3d9 · outbound

This paper cites Generalized few-shot 3d point cloud segmentation with vision-language model,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Generalized few-shot 3d point cloud segmentation with vision-language model,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:32:07.248336Z

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Observation 0a67a265-74b1-493f-9fcd-0135f0f7b32d · outbound

This paper cites Deep visual attention prediction,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Deep visual attention prediction,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:32:07.231587Z

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Observation 17be81f1-51f5-44a7-a780-f738ad3cefd4 · outbound

This paper cites A review of approaches for predicting drug–drug interactions based on machine learning,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation A review of approaches for predicting drug–drug interactions based on machine learning,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:32:07.216156Z

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Observation f4702af5-8c6e-47be-98b9-81fe8b0aa1b3 · outbound

This paper cites Training-Free Object-Background Compositional T2I via Dynamic Spatial Guidance and Multi-Path Pruning.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Training-Free Object-Background Compositional T2I via Dynamic Spatial Guidance and Multi-Path Pruning

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-08-05T17:32:06.941449Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3929b5b2-9834-4796-af83-ab8171e14d9b · outbound

This paper cites Sinkhorn distances: Lightspeed computation of optimal transport,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Sinkhorn distances: Lightspeed computation of optimal transport,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-05T17:32:06.834316Z

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Observation f654bf65-9626-4ba9-9562-bc8500e4e706 · outbound

This paper cites Optimal transport for single-cell and spatial omics,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Optimal transport for single-cell and spatial omics,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:32:07.191339Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 79767cae-d84a-4d79-ba59-5e99cc4e8c18 · outbound

This paper cites Adapting large language models by integrating collaborative semantics for recommendation,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Adapting large language models by integrating collaborative semantics for recommendation,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-05T17:32:06.846205Z

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Observation 1de17403-7f36-458d-b466-53c575c6859d · outbound

This paper cites Clip is also an efficient segmenter: A text-driven approach for weakly supervised semantic segmentation,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Clip is also an efficient segmenter: A text-driven approach for weakly supervised semantic segmentation,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:32:07.165233Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9009dda2-70f3-43c5-b9aa-87332f3a84e2 · outbound

This paper cites Hierarchical dense correlation distillation for few-shot segmentation,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Hierarchical dense correlation distillation for few-shot segmentation,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:32:07.150043Z

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Observation 21984560-80ab-4466-a55c-761826d7d1e7 · outbound

This paper cites Pfenet++: Boosting few-shot semantic segmentation with the noise-filtered context- aware prior mask,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Pfenet++: Boosting few-shot semantic segmentation with the noise-filtered context- aware prior mask,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:32:07.134155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 372775a8-9982-4a81-bb7c-68ae9809ed5c · outbound

This paper cites Drnet: Disentanglement and recombination network for few-shot semantic segmentation,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Drnet: Disentanglement and recombination network for few-shot semantic segmentation,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:32:07.117655Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3770a19e-3058-4132-994c-b1a5565bc83d · outbound

This paper cites Rpmg- fss: Robust prior mask guided few-shot semantic segmentation,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Rpmg- fss: Robust prior mask guided few-shot semantic segmentation,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:32:07.100455Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b52fb31f-5e9c-4724-9e01-87393a66797a · outbound

This paper cites Vrp-sam: Sam with visual reference prompt,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Vrp-sam: Sam with visual reference prompt,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:32:07.084287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 63d7472a-4c7d-4ab4-a267-8b880560c67f · outbound

This paper cites Weakly supervised few-shot semantic segmentation via pseudo mask enhancement and meta learning,.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation Weakly supervised few-shot semantic segmentation via pseudo mask enhancement and meta learning,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:32:07.068214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 07f7352b-e576-4e95-8b92-2fc29e5bb4bf · outbound

This paper cites His research interests include big media analysis and computer vision.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation His research interests include big media analysis and computer vision

Reference 2013

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:32:07.032262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 178789c8-7719-47d7-a5de-eda1f34efbb6 · outbound

This paper cites His research interests include computer vision and machine learning.

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation His research interests include computer vision and machine learning

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:32:07.050452Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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