Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption | Paper Citation Record

Observation d92b7875-6bd3-45b3-899d-78efaec3161e · outbound

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

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Learning transferable visual models from natural language supervision,

Reference 1

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Observation 1d4c1297-3f8e-4df5-9397-2c43292950ee · outbound

This paper cites Scaling up visual and vision-language representation learning with noisy text supervision,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Scaling up visual and vision-language representation learning with noisy text supervision,

Reference 2

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Observation db56acde-00be-424e-9898-2b1d76c5cfa8 · outbound

This paper cites Improving zero-shot generalization and robustness of multi-modal models,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Improving zero-shot generalization and robustness of multi-modal models,

Reference 3

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Observation 9a21336f-4388-4829-9477-84f0662b304d · outbound

This paper cites Improving zero- shot generalization for clip with synthesized prompts,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Improving zero- shot generalization for clip with synthesized prompts,

Reference 4

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Observation cb1afc21-9f14-4334-aa90-595e68c11955 · outbound

This paper cites Effective con- ditioned and composed image retrieval combining clip-based features,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Effective con- ditioned and composed image retrieval combining clip-based features,

Reference 5

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Observation d603bebf-4aad-4dee-8f2c-b110e1644d2d · outbound

This paper cites CLIP2Video: Mastering Video-Text Retrieval via Image CLIP.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption CLIP2Video: Mastering Video-Text Retrieval via Image CLIP

Reference 6

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Observation a9f1ec32-1371-4125-82a3-b0b28e0eef49 · outbound

This paper cites Styleclip: Text-driven manipulation of stylegan imagery,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Styleclip: Text-driven manipulation of stylegan imagery,

Reference 7

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Observation 2395769e-ef00-4bea-b515-f68f46878ba9 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 8

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Observation 293fee36-ce59-4644-ac54-c30c4521bb4c · outbound

This paper cites OpenCLIP,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption OpenCLIP,

Reference 9

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Observation 61c11760-bc1b-464c-b3a1-efa0f562e1ed · outbound

This paper cites Reproducible scaling laws for contrastive language-image learning,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Reproducible scaling laws for contrastive language-image learning,

Reference 10

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Observation 378d05bc-a6a2-4daf-bc7a-5eeff5924663 · outbound

This paper cites LAION-5b: An open large-scale dataset for training next generation image-text models,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption LAION-5b: An open large-scale dataset for training next generation image-text models,

Reference 11

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Observation dfc9ab05-4f88-438f-af1b-6435fb770373 · outbound

This paper cites Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification,

Reference 12

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Observation e4a43113-a3ac-4220-9d86-94e08a25f7de · outbound

This paper cites Lp++: A surprisingly strong linear probe for few-shot clip,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Lp++: A surprisingly strong linear probe for few-shot clip,

Reference 13

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Observation 3234b87f-0373-4696-b762-7d6851762e02 · outbound

This paper cites PLOT: Prompt learning with optimal transport for vision-language models,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption PLOT: Prompt learning with optimal transport for vision-language models,

Reference 14

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Observation e5c8b994-a6d7-4a88-b2a0-f7d427e1bc55 · outbound

This paper cites Test-time prompt tuning for zero-shot generalization in vision-language models,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Test-time prompt tuning for zero-shot generalization in vision-language models,

Reference 15

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Observation a57b2852-d6bf-4e0f-82cf-be10cd5edb35 · outbound

This paper cites Test-time distri- bution normalization for contrastively learned visual-language models,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Test-time distri- bution normalization for contrastively learned visual-language models,

Reference 16

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Observation 1177ae5c-54da-44e3-b089-d33206bf4e4c · outbound

This paper cites Efficient Test-Time Adaptation of Vision-Language Models,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Efficient Test-Time Adaptation of Vision-Language Models,

Reference 17

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Observation b4e56081-214e-474f-aaf7-f0c9fdab4827 · outbound

This paper cites Dual memory networks: A versatile adaptation approach for vision-language models,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Dual memory networks: A versatile adaptation approach for vision-language models,

Reference 18

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Observation 7687ec34-77fd-4e44-a703-b942307d73be · outbound

This paper cites On the test-time zero-shot generalization of vision-language models: Do we really need prompt learning?.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption On the test-time zero-shot generalization of vision-language models: Do we really need prompt learning?

Reference 19

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Observation b185e4dd-d544-47dc-aa6b-e7e9f9c9d1c3 · outbound

This paper cites A hard-to- beat baseline for training-free CLIP-based adaptation,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption A hard-to- beat baseline for training-free CLIP-based adaptation,

Reference 20

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Observation 33bb79db-8e3d-4344-8f77-b83b81d5c8aa · outbound

This paper cites Online zero-shot classification with clip,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Online zero-shot classification with clip,

Reference 21

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Observation aa745f77-3259-4a5c-b353-1fa3f07797e6 · outbound

This paper cites Tent: Fully Test-Time Adaptation by Entropy Minimization,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Tent: Fully Test-Time Adaptation by Entropy Minimization,

Reference 22

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Observation 249a99c5-87b4-4fea-b6af-ec5336e3791a · outbound

This paper cites Covariance-Aware Feature Alignment with Pre-Computed Source Statistics for Test-Time Adap- tation to Multiple Image Corruptions,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Covariance-Aware Feature Alignment with Pre-Computed Source Statistics for Test-Time Adap- tation to Multiple Image Corruptions,

Reference 23

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This paper cites A comprehensive survey on test-time adaptation under distribution shifts,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption A comprehensive survey on test-time adaptation under distribution shifts,

Reference 24

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Observation ccb281d4-27b2-4bb5-82c1-2cd1e2900fde · outbound

This paper cites Learning to prompt for vision- language models,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Learning to prompt for vision- language models,

Reference 25

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Observation fe59cb33-ec01-4394-861c-45f02772c8a2 · outbound

This paper cites Conditional prompt learning for vision-language models,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Conditional prompt learning for vision-language models,

Reference 26

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Observation 11f82d6a-af22-41c9-a811-c230916abfa8 · outbound

This paper cites Mind the gap: Understanding the modality gap in multi-modal contrastive representation learning,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Mind the gap: Understanding the modality gap in multi-modal contrastive representation learning,

Reference 27

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This paper cites Maple: Multi-modal prompt learning,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Maple: Multi-modal prompt learning,

Reference 28

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This paper cites Intra-modal proxy learning for zero- shot visual categorization with clip,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Intra-modal proxy learning for zero- shot visual categorization with clip,

Reference 29

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Observation 0d3464d8-7ed6-4110-9c00-894e0b688f34 · outbound

This paper cites Post- pre-training for Modality Alignment in Vision-Language Foundation Models,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Post- pre-training for Modality Alignment in Vision-Language Foundation Models,

Reference 30

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Observation 46bd7b49-8fe0-47aa-8ef1-6c0dd4bd2609 · outbound

This paper cites The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization

Reference 31

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Observation f8c32f64-2e46-4784-9019-9749ed6b96a7 · outbound

This paper cites Do imagenet classifiers generalize to imagenet?.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Do imagenet classifiers generalize to imagenet?

Reference 32

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This paper cites Natural Adversarial Examples,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Natural Adversarial Examples,

Reference 33

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Observation 0c3aeb36-fff9-4b73-9e6b-824c84507799 · outbound

This paper cites Learning Robust Global Representations by Penalizing Local Predictive Power,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Learning Robust Global Representations by Penalizing Local Predictive Power,

Reference 34

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This paper cites Automated flower classification over a large number of classes,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Automated flower classification over a large number of classes,

Reference 35

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This paper cites Cats and dogs,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Cats and dogs,

Reference 36

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This paper cites Benchmarking Neural Network Ro- bustness to Common Corruptions and Perturbations,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Benchmarking Neural Network Ro- bustness to Common Corruptions and Perturbations,

Reference 37

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Observation ca6675d2-ebd8-430b-a3a2-fa8a609e495a · outbound

This paper cites Ar-tta: A simple method for real-world continual test-time adaptation,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Ar-tta: A simple method for real-world continual test-time adaptation,

Reference 38

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This paper cites Dark model adaptation: Semantic image segmentation from daytime to nighttime,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Dark model adaptation: Semantic image segmentation from daytime to nighttime,

Reference 39

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Observation 2f1dd4ff-96dd-440b-a1e8-20640793e70f · outbound

This paper cites Towards robust cnn-based object detection through augmentation with synthetic rain variations,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Towards robust cnn-based object detection through augmentation with synthetic rain variations,

Reference 40

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This paper cites Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration,

Reference 41

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Observation 8f676c0d-9352-41c2-b84d-6e3a2f1843e0 · outbound

This paper cites Test-time similar- ity modification for person re-identification toward temporal distribution shift,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Test-time similar- ity modification for person re-identification toward temporal distribution shift,

Reference 42

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This paper cites Understanding and improving robustness of vision transform- ers through patch-based negative augmentation,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Understanding and improving robustness of vision transform- ers through patch-based negative augmentation,

Reference 43

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Observation 677ed13c-eeae-43f2-bbd4-2fe497694aa3 · outbound

This paper cites On interaction between augmenta- tions and corruptions in natural corruption robustness,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption On interaction between augmenta- tions and corruptions in natural corruption robustness,

Reference 44

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Observation 9d4fb63c-7c57-425c-850c-70b1705cf118 · outbound

This paper cites Understanding contrastive representation learning through alignment and uniformity on the hypersphere,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Understanding contrastive representation learning through alignment and uniformity on the hypersphere,

Reference 45

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This paper cites LoRA: Low-rank adaptation of large language models,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption LoRA: Low-rank adaptation of large language models,

Reference 46

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This paper cites Bayesian Adaptation for Covariate Shift,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Bayesian Adaptation for Covariate Shift,

Reference 47

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Observation 6f5034fa-4308-451f-9e36-93b4bf30f092 · outbound

This paper cites Ef- ficient test-time model adaptation without forgetting,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Ef- ficient test-time model adaptation without forgetting,

Reference 48

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Observation dfee3c25-953e-4b64-bdd4-56b5339d6e36 · outbound

This paper cites Memo: Test time robustness via adaptation and augmentation,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Memo: Test time robustness via adaptation and augmentation,

Reference 49

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Observation 389e2db7-0839-4354-afdb-c89406c8be0d · outbound

This paper cites Test-time adaptation meets image enhancement: Improving accuracy via uncertainty-aware logit switching,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Test-time adaptation meets image enhancement: Improving accuracy via uncertainty-aware logit switching,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:56.133898Z

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Observation 20232a8e-ef6a-4c6c-a033-d0e6df93b0e3 · outbound

This paper cites GPT-4o System Card.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption GPT-4o System Card

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T20:30:55.736156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d2923a5-2099-48de-81c6-b7c7fc7c53d3 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Imagenet: A large-scale hierarchical image database,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:56.122650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c295d2cc-ca7e-4bdf-92e7-96af58828c4a · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Representation Learning with Contrastive Predictive Coding

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-15T20:30:55.744340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf4bc352-e437-491d-9a9d-5b1f869f6f7f · outbound

This paper cites Unsupervised Classifiers, Mutual Information and 'Phantom Targets,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Unsupervised Classifiers, Mutual Information and 'Phantom Targets,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:56.110372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 989ffab8-f264-4294-8f4d-9a273f5cf7a7 · outbound

This paper cites Discriminative Clustering by Regularized Information Maximization,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Discriminative Clustering by Regularized Information Maximization,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:56.097355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b252f74d-7006-4534-93cb-08c704c4e7af · outbound

This paper cites Information-theoretical learning of discriminative clusters for unsupervised domain adaptation,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Information-theoretical learning of discriminative clusters for unsupervised domain adaptation,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:56.085267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5cc78612-3ee5-4b9f-8807-7b10a87bfce5 · outbound

This paper cites Learning discrete representations via information maximizing self-augmented training,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Learning discrete representations via information maximizing self-augmented training,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:56.073400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a373f820-18cd-416c-8f91-7a91ef437548 · outbound

This paper cites Padclip: Pseudo-labeling with adaptive debiasing in clip for unsupervised domain adaptation,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Padclip: Pseudo-labeling with adaptive debiasing in clip for unsupervised domain adaptation,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:56.059971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e51473ac-7f0a-43fe-b492-5857c1c7ee91 · outbound

This paper cites HVCLIP: High-dimensional vector in CLIP for unsupervised domain adaptation,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption HVCLIP: High-dimensional vector in CLIP for unsupervised domain adaptation,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:56.047715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 03e22135-8a92-45a4-9515-67ee2d1319d6 · outbound

This paper cites Low-rank few-shot adaptation of vision- language models,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Low-rank few-shot adaptation of vision- language models,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:56.035258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d0915993-3a45-42e1-8eb1-30c43b8ff262 · outbound

This paper cites Continual test-time domain adaptation,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Continual test-time domain adaptation,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:56.023870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bc65c040-aed4-4183-b0b2-18ced119e24a · outbound

This paper cites Visual Prompt Tuning for Test-time Domain Adaptation.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Visual Prompt Tuning for Test-time Domain Adaptation

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-15T20:30:55.778521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 104def6c-e2d0-47c0-8de6-b64faa2a3e8c · outbound

This paper cites Robust mean teacher for continual and gradual test-time adaptation,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Robust mean teacher for continual and gradual test-time adaptation,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:56.011849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 43caa130-03e3-4e3b-b81f-1b47a672b534 · outbound

This paper cites Continual test-time domain adaptation via dynamic sample selection,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Continual test-time domain adaptation via dynamic sample selection,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:55.999674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fd534095-825a-463e-bfa9-9902699081cf · outbound

This paper cites Datacomp: In search of the next generation of multimodal datasets,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Datacomp: In search of the next generation of multimodal datasets,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:55.987995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7ddbe3dd-aefc-4e36-9992-80951e077e08 · outbound

This paper cites Decoupled weight decay regularization,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Decoupled weight decay regularization,

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-15T20:30:55.795024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e10a115-4990-492e-a620-782c95aeb8a5 · outbound

This paper cites Delving deep into rectifiers: Surpassing human-level performance on imagenet classification,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Delving deep into rectifiers: Surpassing human-level performance on imagenet classification,

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-15T20:30:55.800187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a976656e-d0a1-4658-8887-69c11407de36 · outbound

This paper cites Frustratingly easy test-time adaptation of vision-language models,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Frustratingly easy test-time adaptation of vision-language models,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:55.960421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 26b3c4d7-0aaf-4de3-a730-f0f69790823d · outbound

This paper cites Spherical principal component analysis,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Spherical principal component analysis,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:55.948876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 94cfabca-2b5b-4c71-bc11-654e00949814 · outbound

This paper cites Microsoft COCO Captions: Data Collection and Evaluation Server.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption Microsoft COCO Captions: Data Collection and Evaluation Server

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-15T20:30:55.814031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa3f36e4-77da-4bba-bfa5-ad5177324ac2 · outbound

This paper cites C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion,.

Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:30:55.937465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers