Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP | Paper Citation Record

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Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP , " * write output.state after.block = add.period write newline

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Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP write newline

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Reference 6

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This paper cites K.; Winn, J.; and Zisserman, A.

Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP K.; Winn, J.; and Zisserman, A

Reference 9

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Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP Diffusion Model Driven Test-Time Image Adaptation for Robust Skin Lesion Classification

Reference 12

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This paper cites OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining.

Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining

Reference 13

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Reference 14

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Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP a henb \

Reference 15

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Reference 17

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Reference 18

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Reference 19

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This paper cites W.; Zhang, Y.; Kwon, Y.; Yeung, S.; and Zou, J.

Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP W.; Zhang, Y.; Kwon, Y.; Yeung, S.; and Zou, J

Reference 20

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Reference 21

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Reference 22

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Reference 23

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Reference 24

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Reference 26

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Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP W.; Hallacy, C.; Ramesh, A.; Goh, G.; Agarwal, S.; Sastry, G.; Askell, A.; Mishkin, P.; Clark, J.; et al

Reference 29

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Reference 30

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Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP Discriminating retinal microvascular and neuronal differences related to migraines: Deep Learning based Crossectional Study

Reference 33

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Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentation

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Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP Action Recognition with Multi-stream Motion Modeling and Mutual Information Maximization

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Reference 55

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Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-08-11T00:13:13.673516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a794f2e1-e6f3-4d68-85e1-e23d20ec38d6 · outbound

This paper cites an unresolved cited work.

Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-11T00:13:13.662586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fa6c7ee5-d8eb-458b-9683-104f908e4e18 · outbound

This paper cites Instance-adaptive Zero-shot Chain-of-Thought Prompting.

Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP Instance-adaptive Zero-shot Chain-of-Thought Prompting

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-11T00:13:13.281954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01c849c9-ddca-44b7-a34c-80cc955f61d3 · outbound

This paper cites an unresolved cited work.

Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-11T00:13:13.649791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation faa39104-e0d0-4d3c-9633-3b1560b88a39 · outbound

This paper cites an unresolved cited work.

Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-11T00:13:13.636900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bc7c7a60-b5cd-455f-9cbd-42add66843ff · outbound

This paper cites Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs.

Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-11T00:13:13.296393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77489c5e-0296-4189-8d11-6f8d51fefe3a · outbound

This paper cites From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks.

Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-11T00:13:13.301658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45ddaca6-9825-4d42-8a4f-dbe52668d8b9 · outbound

This paper cites an unresolved cited work.

Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-11T00:13:13.624751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3ac917e5-b7cb-4a1a-b8a3-abf33083c8a6 · outbound

This paper cites an unresolved cited work.

Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-11T00:13:13.611987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0dd15513-1c5e-4f64-ac7d-9c910424dd1c · outbound

This paper cites an unresolved cited work.

Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-11T00:13:13.598967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d2995e66-d079-4319-a3da-a2cc6f90475a · outbound

This paper cites an unresolved cited work.

Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-11T00:13:13.586183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers