Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models | Paper Citation Record

Observation 9156d484-00be-4473-948a-c2cad2f6b3c9 · outbound

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

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Learning transferable visual models from natural language supervision,

Reference 1

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Observation 2f4deb52-f0f0-4b76-8427-1491df391ee8 · outbound

This paper cites Why are Visually-Grounded Language Models Bad at Image Classification?.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Why are Visually-Grounded Language Models Bad at Image Classification?

Reference 2

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Observation 13029e43-a1b6-49e4-bafc-42fb665b7bfb · outbound

This paper cites Eva: Exploring the limits of masked visual representation learning at scale,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Eva: Exploring the limits of masked visual representation learning at scale,

Reference 3

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Observation 39aa69af-70b4-4a4f-8183-f1198ec0dbeb · outbound

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

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Conditional prompt learning for vision-language models,

Reference 4

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Observation 46276c91-e114-4954-aa13-5a3a05cb3661 · outbound

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

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Learning to prompt for vision-language models,

Reference 5

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Observation e285e8a3-1e6c-46ea-beb8-b17c138e9631 · outbound

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

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Maple: Multi-modal prompt learning,

Reference 6

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Observation a6fc409e-cd32-491d-b6b6-0a58406c2ab0 · outbound

This paper cites Tcp: Textual-based class-aware prompt tuning for visual-language model,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Tcp: Textual-based class-aware prompt tuning for visual-language model,

Reference 7

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Observation d1b1b93a-719a-4ddf-8302-3d48af181791 · outbound

This paper cites Dept: Decoupled prompt tuning,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Dept: Decoupled prompt tuning,

Reference 8

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Observation 1e11ad71-9bdb-44c6-96e9-9c28f9822ee4 · outbound

This paper cites PromptKD: Unsupervised Prompt Distillation for Vision-Language Models.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models PromptKD: Unsupervised Prompt Distillation for Vision-Language Models

Reference 9

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Observation ff40152d-8d67-4828-ba13-342a9de8c0cb · outbound

This paper cites Self-regulating prompts: Foundational model adaptation without forgetting,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Self-regulating prompts: Foundational model adaptation without forgetting,

Reference 10

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Observation 6bf813c6-152a-4bcf-9010-af13b40d0145 · outbound

This paper cites Consistency-guided Prompt Learning for Vision-Language Models.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Consistency-guided Prompt Learning for Vision-Language Models

Reference 11

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Observation beabbd0c-6a93-456d-884e-253b41e88a75 · outbound

This paper cites Large Language Models are Good Prompt Learners for Low-Shot Image Classification.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Large Language Models are Good Prompt Learners for Low-Shot Image Classification

Reference 12

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Observation b0972253-29f7-495d-b171-ee7e2656d84a · outbound

This paper cites Improved zero-shot classification by adapting vlms with text descriptions,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Improved zero-shot classification by adapting vlms with text descriptions,

Reference 13

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Observation b51b309f-f8ee-4a08-aa8c-88b0b494d25e · outbound

This paper cites Bilateral adaptive cross-modal fusion prompt learning for clip,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Bilateral adaptive cross-modal fusion prompt learning for clip,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:53.023998Z

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Observation 238e3490-284d-4bb2-961f-47d8d62720ee · outbound

This paper cites Unified Vision and Language Prompt Learning.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Unified Vision and Language Prompt Learning

Reference 15

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Observation df39cd68-4808-4b93-84a3-376673743d68 · outbound

This paper cites Visual prompt tuning,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Visual prompt tuning,

Reference 16

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Observation 8de8356e-06a5-4660-bfaa-dcb20f95c1c9 · outbound

This paper cites Enhancing clip with gpt-4: Harnessing visual descriptions as prompts,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Enhancing clip with gpt-4: Harnessing visual descriptions as prompts,

Reference 17

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Observation 3bd84a38-a290-439d-98ea-de7097bf09bf · outbound

This paper cites Prompt distribution learning,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Prompt distribution learning,

Reference 18

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Observation 746ad6f6-bf5f-4710-a27b-837d46252273 · outbound

This paper cites Prompt-aligned gradient for prompt tuning,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Prompt-aligned gradient for prompt tuning,

Reference 19

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Observation ce721eb8-229b-4418-bd7f-ddf5a5307220 · outbound

This paper cites Visual-language prompt tuning with knowledge-guided context optimization,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Visual-language prompt tuning with knowledge-guided context optimization,

Reference 20

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Observation bd6d3c8b-1362-4dc4-9d32-66c8364755c7 · outbound

This paper cites Gradient-regulated meta-prompt learning for generalizable vision-language models,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Gradient-regulated meta-prompt learning for generalizable vision-language models,

Reference 21

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Observation 10ae3ddd-ef59-4170-a0e7-6ca883cffe58 · outbound

This paper cites Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization

Reference 22

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Observation 9a37ab55-322c-41fb-aa5d-67c6ecef6e1f · outbound

This paper cites Prompt Learning via Meta-Regularization.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Prompt Learning via Meta-Regularization

Reference 23

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Observation 220f93bd-0fb4-4ca8-9531-dfae0fce96f5 · outbound

This paper cites Extract free dense labels from clip,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Extract free dense labels from clip,

Reference 24

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Observation 30df0cf1-407e-485a-b5cf-7dffa62d7dc8 · outbound

This paper cites Maskclip: Masked self-distillation advances contrastive language-image pretraining,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Maskclip: Masked self-distillation advances contrastive language-image pretraining,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:52.347774Z

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Observation 656ca6ad-35e3-44cb-8f23-7b855be7738e · outbound

This paper cites Scaling open-vocabulary image segmentation with image-level labels,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Scaling open-vocabulary image segmentation with image-level labels,

Reference 26

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This paper cites Clip-actor: Text-driven recom- mendation and stylization for animating human meshes,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Clip-actor: Text-driven recom- mendation and stylization for animating human meshes,

Reference 27

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Observation 0a060441-440b-47f6-a6c8-5f8ac15e06e3 · outbound

This paper cites Motionclip: Exposing human motion generation to clip space,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Motionclip: Exposing human motion generation to clip space,

Reference 28

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Observation 4eecf22f-9870-4ade-b773-d53cbb9d45ec · outbound

This paper cites Lerf: Language embedded radiance fields,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Lerf: Language embedded radiance fields,

Reference 29

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This paper cites Zero-shot learning—a comprehensive evaluation of the good, the bad and the ugly,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Zero-shot learning—a comprehensive evaluation of the good, the bad and the ugly,

Reference 30

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Observation 23b94d3d-e2e8-4244-8bbb-6e32f8929bca · outbound

This paper cites Zero-shot text-to-image generation,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Zero-shot text-to-image generation,

Reference 31

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Observation 35d1dcec-ae34-4f33-bb68-d42d1619d1db · outbound

This paper cites High- resolution image synthesis with latent diffusion models,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models High- resolution image synthesis with latent diffusion models,

Reference 32

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This paper cites Convolutions die hard: Open-vocabulary segmentation with single frozen convolutional clip,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Convolutions die hard: Open-vocabulary segmentation with single frozen convolutional clip,

Reference 33

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Observation dc50ac75-8e87-4e05-b27d-bdd526939afd · outbound

This paper cites Learning multiple visual do- mains with residual adapters,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Learning multiple visual do- mains with residual adapters,

Reference 34

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This paper cites Task residual for tuning vision-language models,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Task residual for tuning vision-language models,

Reference 35

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This paper cites Graphadapter: Tuning vision-language models with dual knowledge graph,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Graphadapter: Tuning vision-language models with dual knowledge graph,

Reference 36

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This paper cites Tip-adapter: Training-free adaption of clip for few-shot classification,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Tip-adapter: Training-free adaption of clip for few-shot classification,

Reference 37

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Observation 1abc598d-c2f6-4616-ad26-a737a108eb74 · outbound

This paper cites Prompt, generate, then cache: Cascade of foundation models makes strong few-shot learners,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Prompt, generate, then cache: Cascade of foundation models makes strong few-shot learners,

Reference 38

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

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Scaling up visual and vision-language representation learning with noisy text supervision,

Reference 39

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Observation a0da0837-f247-4fa4-961c-15e60e0e2d10 · outbound

This paper cites Clip-adapter: Better vision-language models with feature adapters,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Clip-adapter: Better vision-language models with feature adapters,

Reference 40

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This paper cites Visual instruction tuning,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Visual instruction tuning,

Reference 41

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Observation ef0bc9f0-d96f-414c-8020-02d97cf13d3b · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,

Reference 42

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Observation 28ae536f-a7b7-4040-a6a4-6e8d39f811f1 · outbound

This paper cites BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

Reference 43

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Observation fb9e63f8-2e1f-419d-83b6-5ea2e4e0e2bc · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 44

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This paper cites MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning

Reference 45

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Observation db69644f-4f1c-46dd-892f-a28717e3872e · outbound

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

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 46

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This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 47

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Observation df2878d6-2386-40f8-a3be-cf412156b8f0 · outbound

This paper cites Language models are few-shot learners,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Language models are few-shot learners,

Reference 48

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Observation e21620ed-086e-4534-9205-d2ba8e2d569d · outbound

This paper cites GPT-4 Technical Report.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models GPT-4 Technical Report

Reference 49

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Observation da45060a-6976-45f4-af72-cf3165bc0341 · outbound

This paper cites Lit: Zero-shot transfer with locked-image text tuning,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Lit: Zero-shot transfer with locked-image text tuning,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:50.324687Z

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Observation 35d68594-d399-4b80-9387-415d325d1bc9 · outbound

This paper cites CoCa: Contrastive Captioners are Image-Text Foundation Models.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models CoCa: Contrastive Captioners are Image-Text Foundation Models

Reference 51

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Observation 9f233f02-4d06-4e35-acbb-1f53b16ebe0c · outbound

This paper cites Compound text- guided prompt tuning via image-adaptive cues,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Compound text- guided prompt tuning via image-adaptive cues,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:50.217897Z

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Observation e3af5be0-e7e6-4bbf-ad16-cf73bf0f6d94 · outbound

This paper cites What does a platypus look like? generating customized prompts for zero-shot image classification,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models What does a platypus look like? generating customized prompts for zero-shot image classification,

Reference 53

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Observation 058280ef-4874-4509-bcbf-2194a2a50869 · outbound

This paper cites Knowledge- aware prompt tuning for generalizable vision-language models,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Knowledge- aware prompt tuning for generalizable vision-language models,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:49.956199Z

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Observation 1d8720a8-38d4-4b3a-8478-00c46d016f16 · outbound

This paper cites Visual Classification via Description from Large Language Models.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Visual Classification via Description from Large Language Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T18:27:47.103905Z

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Observation 75668555-2309-4fa6-bb4c-f2118b5d3851 · outbound

This paper cites Learning concise and descriptive attributes for visual recognition,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Learning concise and descriptive attributes for visual recognition,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:49.775912Z

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Observation 34ada827-974f-4242-ba9b-9fd737e8d60b · outbound

This paper cites Language in a bottle: Language model guided concept bottlenecks for interpretable image classification,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Language in a bottle: Language model guided concept bottlenecks for interpretable image classification,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:49.621856Z

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Observation 50027c03-64e6-4f04-9744-23d2afa54312 · outbound

This paper cites CommonCanvas: An Open Diffusion Model Trained with Creative-Commons Images.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models CommonCanvas: An Open Diffusion Model Trained with Creative-Commons Images

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T18:27:47.118712Z

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Observation c6b5550b-2977-42f3-9ad0-d2c49cf999a3 · outbound

This paper cites Enhancing clip with a third modality,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Enhancing clip with a third modality,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:49.445333Z

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

Observation ec1c2b0c-570f-417f-8122-21e4f8930b80 · outbound

This paper cites Democratizing Fine-grained Visual Recognition with Large Language Models.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Democratizing Fine-grained Visual Recognition with Large Language Models

Reference 60

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Observation 47bfcda6-c303-4016-97c9-7eb8c868765a · outbound

This paper cites Fine- tuned clip models are efficient video learners,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Fine- tuned clip models are efficient video learners,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:49.292751Z

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Observation 14e7dd2a-a6e4-44ef-83af-2c44af5d7ca2 · outbound

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

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Imagenet: A large-scale hierarchical image database,

Reference 62

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This paper cites 3d object representations for fine-grained categorization,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models 3d object representations for fine-grained categorization,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:49.180107Z

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Observation 9857915e-5ab4-4c8a-8e06-b24ec7478460 · outbound

This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T18:27:47.145588Z

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Observation 15ca188b-e6c5-41de-ac53-07fcd31661af · outbound

This paper cites Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories,

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T18:27:47.150373Z

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Observation 0a4b130c-298f-4fa9-8c3b-a67156111844 · outbound

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

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Automated flower classification over a large number of classes,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:48.995277Z

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Observation cfb0970c-d0ef-4a1e-9a4e-cdb51eac85ba · outbound

This paper cites Sun database: Large-scale scene recognition from abbey to zoo,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Sun database: Large-scale scene recognition from abbey to zoo,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:48.855739Z

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Observation cb1de294-5148-4188-80ce-d383d634eec2 · outbound

This paper cites Describing textures in the wild,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Describing textures in the wild,

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T18:27:47.164738Z

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This paper cites Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification,

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-06T18:27:47.169601Z

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Observation e59cc4cc-4243-4123-a5ec-3092aa3d8d3a · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Fine-Grained Visual Classification of Aircraft

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-06T18:27:47.173763Z

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This paper cites Cats and dogs,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Cats and dogs,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:48.630071Z

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Observation 909a32ad-7675-47a7-b735-0ae79adae21f · outbound

This paper cites Food-101–mining discriminative components with random forests,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Food-101–mining discriminative components with random forests,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:48.360216Z

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Observation 72fc57ec-122e-432a-9988-717872c231ea · outbound

This paper cites Natural adversarial examples,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Natural adversarial examples,

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T18:27:47.187502Z

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This paper cites Do imagenet classifiers generalize to imagenet?.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Do imagenet classifiers generalize to imagenet?

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:48.217435Z

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Observation 65100d47-d282-481d-8bd0-386ace54c4d1 · outbound

This paper cites Learning robust global representations by penalizing local predictive power,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Learning robust global representations by penalizing local predictive power,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:48.073216Z

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Observation 3f9b258a-8bca-4d7d-a7a9-79e5628ee05f · outbound

This paper cites Decoupled Weight Decay Regularization.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Decoupled Weight Decay Regularization

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-06T18:27:47.200213Z

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Observation ae1a09a8-1962-4d48-a8aa-019755f1e3df · outbound

This paper cites VL-Mamba: Exploring State Space Models for Multimodal Learning.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models VL-Mamba: Exploring State Space Models for Multimodal Learning

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-06T18:27:47.204582Z

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Observation fbef7d83-68a3-4d39-aaeb-6e6f10e51d9c · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Grad-cam: Visual explanations from deep networks via gradient-based localization,

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-06T18:27:47.208713Z

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This paper cites Efficiently scaling transformer inference,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Efficiently scaling transformer inference,

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-06T18:27:47.212991Z

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Observation 5a4c514e-fda3-44e4-acaf-7f7137416859 · outbound

This paper cites Transformers: State-of-the-art natural language processing,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Transformers: State-of-the-art natural language processing,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:47.920034Z

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Observation 934244d5-50ea-42da-a768-6dbe291ce291 · outbound

This paper cites Modality- consistent prompt tuning with optimal transport,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Modality- consistent prompt tuning with optimal transport,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:47.791480Z

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Observation c1c080de-e9d9-4f7d-8580-e4b6fec02d7c · outbound

This paper cites Hierarchy- aware interactive prompt learning for few-shot classification,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Hierarchy- aware interactive prompt learning for few-shot classification,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:47.761692Z

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Observation b8cd94c3-82c5-4186-96e5-eb32b176a837 · outbound

This paper cites Language-driven visual consensus for zero-shot semantic segmentation,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Language-driven visual consensus for zero-shot semantic segmentation,

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:47.737604Z

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Observation 0626ab68-3e72-4287-8bd3-3356f62aaa44 · outbound

This paper cites Pedestrian attribute recognition via clip based prompt vision-language fusion,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Pedestrian attribute recognition via clip based prompt vision-language fusion,

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:27:47.711586Z

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Observation d0247ef0-75df-4c82-9424-44f458c37556 · outbound

This paper cites Understanding and mitigating overfitting in prompt tuning for vision-language models,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Understanding and mitigating overfitting in prompt tuning for vision-language models,

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-06T18:27:47.240681Z

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Observation 536fa8b1-0817-4ccd-873a-84eb3ba6cabb · outbound

This paper cites Clipood: Generalizing clip to out-of-distributions,.

Multi-modal Mutual-Guidance Conditional Prompt Learning for Vision-Language Models Clipood: Generalizing clip to out-of-distributions,

Reference 86

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T18:27:47.672562Z

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