Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning | Paper Citation Record

Observation 24aece88-8079-4a30-ba7c-32df2a373b82 · outbound

This paper cites Flamingo: a visual language model for few- shot learning.Advances in Neural Information Processing Systems, 35:23716–23736, 2022.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Flamingo: a visual language model for few- shot learning.Advances in Neural Information Processing Systems, 35:23716–23736, 2022

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:29:33.806086Z

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Observation 1552687b-5962-46d6-aecc-2cb2e60d956b · outbound

This paper cites Laso: Label-set operations networks for multi-label few-shot learning.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Laso: Label-set operations networks for multi-label few-shot learning

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:29:33.647913Z

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Observation 5efae362-3a40-4e91-b222-daec85b6a6d3 · outbound

This paper cites Structured semantic transfer for multi-label recognition with partial labels.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Structured semantic transfer for multi-label recognition with partial labels

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:29:33.518040Z

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Observation a6051b62-25ce-4961-a61e-9d26f9b257e2 · outbound

This paper cites Recurrent attentional reinforcement learning for multi-label image recognition.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Recurrent attentional reinforcement learning for multi-label image recognition

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:29:33.309046Z

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Observation 048f16a2-88e9-4802-8a94-4b8d63e5d365 · outbound

This paper cites Learning semantic-specific graph representation for multi-label image recognition.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Learning semantic-specific graph representation for multi-label image recognition

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:29:33.067742Z

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Observation 39eed48b-0cdf-4cb1-824d-24101b2bda98 · outbound

This paper cites Multi- label image recognition with graph convolutional networks.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Multi- label image recognition with graph convolutional networks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:29:32.749727Z

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Observation 235e497b-5f42-4b70-a15f-61e19b4031f5 · outbound

This paper cites Stargan v2: Diverse image synthesis for multiple domains.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Stargan v2: Diverse image synthesis for multiple domains

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T04:29:21.467483Z

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Observation 5945c96b-80b9-4135-8f0b-7f51c38f2fa0 · outbound

This paper cites Nus-wide: a real-world web image database from national university of singapore.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Nus-wide: a real-world web image database from national university of singapore

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:29:32.482326Z

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Observation e41dbda1-01c0-46d6-9b8d-a374b62d3df8 · outbound

This paper cites Bayesian Prompt Learning for Image-Language Model Generalization.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Bayesian Prompt Learning for Image-Language Model Generalization

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:29:27.519841Z

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Observation 422915f3-7be1-4344-8f8b-0645292626ed · outbound

This paper cites Learning a deep convnet for multi-label classification with partial labels.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Learning a deep convnet for multi-label classification with partial labels

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:29:32.223302Z

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Observation 1dea58b2-387b-4247-b1cb-07baa7981e5a · outbound

This paper cites The pascal visual object classes (voc) challenge.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning The pascal visual object classes (voc) challenge

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:29:32.110623Z

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Observation df16fc1f-6483-4425-bf26-883dbb59b702 · outbound

This paper cites Learning federated visual prompt in null space for mri reconstruction.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Learning federated visual prompt in null space for mri reconstruction

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:29:31.979476Z

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Observation c93a5f1e-5710-4697-bdcc-ae4a8987fc02 · outbound

This paper cites Diverse data augmentation with diffusions for effective test-time prompt tuning.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Diverse data augmentation with diffusions for effective test-time prompt tuning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:29:31.848906Z

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Observation 1cc7885b-241b-46f2-bae0-8af644ddc3e6 · outbound

This paper cites Deep Convolutional Ranking for Multilabel Image Annotation.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Deep Convolutional Ranking for Multilabel Image Annotation

Reference 15

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Observation 925ea13d-e7ed-4268-9490-fc6d23eebb5b · outbound

This paper cites Gener- ative adversarial networks.Communications of the ACM, 63(11):139–144, 2020.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Gener- ative adversarial networks.Communications of the ACM, 63(11):139–144, 2020

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:29:31.670788Z

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Observation a135c362-b34c-441a-b0e1-d298e75e8688 · outbound

This paper cites I Can't Believe There's No Images! Learning Visual Tasks Using only Language Supervision.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning I Can't Believe There's No Images! Learning Visual Tasks Using only Language Supervision

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:29:27.334748Z

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Observation 43de6bae-3c0d-4fa4-8064-fc9267afba04 · outbound

This paper cites Texts as Images in Prompt Tuning for Multi-Label Image Recognition.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Texts as Images in Prompt Tuning for Multi-Label Image Recognition

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:29:27.005782Z

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Observation 54d438c6-cdf6-4d65-82f8-29d6c4fc8afe · outbound

This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Imagen Video: High Definition Video Generation with Diffusion Models

Reference 19

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Observation cac53a72-af1a-4bcd-8974-9ffe1b0e1fef · outbound

This paper cites Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental Learning.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental Learning

Reference 20

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Observation 759e43e3-18a9-41aa-9f15-c2db223297a5 · outbound

This paper cites Class concept rep- resentation from contextual texts for training-free multi-label recognition.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Class concept rep- resentation from contextual texts for training-free multi-label recognition

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:29:31.536598Z

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Observation 151bea06-1562-4acc-b5f9-115f8abc2da4 · outbound

This paper cites Enhancing clip conceptual embedding through knowl- edge distillation, 2024.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Enhancing clip conceptual embedding through knowl- edge distillation, 2024

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:29:31.301209Z

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Observation 99c04b5b-f88f-4d51-95c0-fcaf71f40039 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Adam: A Method for Stochastic Optimization

Reference 23

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Observation 52dbb060-3b2b-477f-a02b-be5cbc2d169c · outbound

This paper cites Auto-Encoding Variational Bayes.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Auto-Encoding Variational Bayes

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T04:29:22.693267Z

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Observation d2f91786-85d5-485a-b6e4-ee057a6ffe95 · outbound

This paper cites Openimages: A public dataset for large-scale multi-label and multi-class image classification.Dataset available from https://github.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Openimages: A public dataset for large-scale multi-label and multi-class image classification.Dataset available from https://github

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:29:30.991687Z

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Observation 9325cba4-ff10-48d2-a049-c1ef4caf4611 · outbound

This paper cites Microsoft coco: Common objects in context.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Microsoft coco: Common objects in context

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T04:29:22.866684Z

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Observation 8f654f19-4017-4f3f-9870-981ca8d86a5f · outbound

This paper cites Compositional visual generation with composable diffusion models.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Compositional visual generation with composable diffusion models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T04:29:22.937312Z

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Observation 174fc98a-68c0-4902-95e4-34ca7f7c42b2 · outbound

This paper cites Multi-label image classification via knowledge distillation from weakly-supervised detection.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Multi-label image classification via knowledge distillation from weakly-supervised detection

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:29:30.851628Z

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Observation 940ac585-f768-4090-b721-ff3dd2c0cd50 · outbound

This paper cites Decoupled Weight Decay Regularization.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Decoupled Weight Decay Regularization

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T04:29:23.154171Z

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Observation 60b3b8b3-01c9-4ce7-8665-67607d9997c3 · outbound

This paper cites T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models

Reference 30

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Observation e145ff17-4e59-44aa-8190-0fecda34f588 · outbound

This paper cites Discriminative region-based multi- label zero-shot learning.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Discriminative region-based multi- label zero-shot learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:29:30.640677Z

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Observation 4bd800af-6817-439b-aa85-83e068109af3 · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T04:29:23.648601Z

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Observation 09055feb-c934-45bb-b5b2-a5b9304eaafe · outbound

This paper cites Text-Only Training for Image Captioning using Noise-Injected CLIP.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Text-Only Training for Image Captioning using Noise-Injected CLIP

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T04:29:23.701411Z

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Observation 9c55f7d6-eb43-4fbc-9bec-9eddc3062d8f · outbound

This paper cites Sdxl: Improving latent diffusion models for high-resolution image synthesis, 2023.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Sdxl: Improving latent diffusion models for high-resolution image synthesis, 2023

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T04:29:23.757452Z

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Observation ad348d85-18e1-4a2d-8f9e-f92ce3949f50 · outbound

This paper cites Semantic-aware representation blending for multi-label image recognition with partial labels.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Semantic-aware representation blending for multi-label image recognition with partial labels

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:29:30.451465Z

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Observation c98aeb9a-3e22-4866-98ec-8e79f405e115 · outbound

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

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Learning transferable visual models from natural language supervision

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T04:29:23.905795Z

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Observation 93cbaf98-1dac-440e-8fe9-4168ea114428 · outbound

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

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T04:29:23.971618Z

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Observation 67c2f28a-8042-4ba4-83f8-7b31737b9bfc · outbound

This paper cites Rethinking Prompting Strategies for Multi-Label Recognition with Partial Annotations.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Rethinking Prompting Strategies for Multi-Label Recognition with Partial Annotations

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:29:26.741089Z

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Observation 3e5370b9-3067-4406-b06a-7fa346309749 · outbound

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

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning High-resolution image synthesis with latent diffusion models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T04:29:24.140777Z

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Observation 6e4f146f-2784-4af2-8e8a-503d755e9b84 · outbound

This paper cites DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 40

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Observation 4f3c9b3c-79d2-489f-ab99-da2bca4e214d · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.Advances in Neural Information Processing Systems, 35:36479–36494, 2022.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Photorealistic text-to-image diffusion models with deep language understanding.Advances in Neural Information Processing Systems, 35:36479–36494, 2022

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T04:29:24.328312Z

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Observation b82ffa68-b37d-4f30-be73-b103de74c0ae · outbound

This paper cites Meta-learning for multi-label few-shot classification.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Meta-learning for multi-label few-shot classification

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:29:30.155597Z

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Observation 92e242d5-05a3-4554-919b-970c885771cd · outbound

This paper cites D2c: Diffusion-decoding models for few-shot conditional generation.Advances in Neural Information Processing Systems, 34:12533–12548, 2021.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning D2c: Diffusion-decoding models for few-shot conditional generation.Advances in Neural Information Processing Systems, 34:12533–12548, 2021

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:29:29.964146Z

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Observation 2bce9440-2692-46ef-9e32-e27523688dcd · outbound

This paper cites DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:29:26.503407Z

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Observation 6fdb1315-0afe-44f3-9465-a167a5c433b5 · outbound

This paper cites Vl-adapter: Parameter- efficient transfer learning for vision-and-language tasks.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Vl-adapter: Parameter- efficient transfer learning for vision-and-language tasks

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:29:29.756867Z

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Observation af3ca6be-ea1e-4188-859c-f811ac3a0582 · outbound

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

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning LLaMA: Open and Efficient Foundation Language Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T04:29:24.742090Z

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Observation 69079c93-4405-4a67-b3dd-facb53320b39 · outbound

This paper cites Schwing, and Heng Ji.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Schwing, and Heng Ji

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:29:29.467747Z

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Observation 22bd1813-84d4-49b2-b047-f7026cd06b86 · outbound

This paper cites Cnn-rnn: A unified framework for multi-label image classification.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Cnn-rnn: A unified framework for multi-label image classification

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:29:29.250117Z

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Observation 174fdf45-c604-41ac-b7e2-25289eee0a40 · outbound

This paper cites Beyond object proposals: Random crop pooling for multi-label image recognition.IEEE Transactions on Image Processing, 25(12):5678–5688, 2016.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Beyond object proposals: Random crop pooling for multi-label image recognition.IEEE Transactions on Image Processing, 25(12):5678–5688, 2016

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:29:29.090608Z

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Observation dce809da-2730-4619-affa-4980c9be33dd · outbound

This paper cites Multi-label classification with label graph superimposing.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Multi-label classification with label graph superimposing

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:29:28.742045Z

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Observation 48618230-4984-4bd0-acf7-75eadd39a688 · outbound

This paper cites Multi-label image recognition by recurrently discovering attentional regions.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Multi-label image recognition by recurrently discovering attentional regions

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:29:28.509634Z

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Observation fb074065-6d3a-4991-9b4d-40e4d1514758 · outbound

This paper cites TAI++: Text as Image for Multi-Label Image Classification by Co-Learning Transferable Prompt.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning TAI++: Text as Image for Multi-Label Image Classification by Co-Learning Transferable Prompt

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T04:29:25.323228Z

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Observation dbdbd1f7-a38c-4168-9111-1df0ebb44a80 · outbound

This paper cites Orderless recurrent models for multi-label classification.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Orderless recurrent models for multi-label classification

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:29:28.291057Z

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Observation 7ca2c462-991a-4087-9e94-b6d750d30dbb · outbound

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

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Tip-adapter: Training-free adaption of clip for few-shot classification

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:29:28.026308Z

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Observation 34f917ba-feac-407e-b5f9-f4cd954240b7 · outbound

This paper cites Transformer-based dual relation graph for multi-label image recognition.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Transformer-based dual relation graph for multi-label image recognition

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:29:27.754042Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 786f5b84-e50e-41b7-84be-a94a0819c3be · outbound

This paper cites Con- ditional prompt learning for vision-language models.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Con- ditional prompt learning for vision-language models

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T04:29:25.856436Z

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Unavailable: canonical work link unavailable.

Observation 2320c6c6-4efe-499d-b709-e6fc9b5d7e67 · outbound

This paper cites Learning to prompt for vision-language models.International Journal of Computer Vision, 130(9):2337–2348, 2022.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Learning to prompt for vision-language models.International Journal of Computer Vision, 130(9):2337–2348, 2022

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T04:29:25.936192Z

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Observation c164c584-c577-4927-b2c5-dd84080dafe2 · outbound

This paper cites Prompt-aligned Gradient for Prompt Tuning.

Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning Prompt-aligned Gradient for Prompt Tuning

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:29:26.267957Z

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