2024 Paper "vision-language models" Papers

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AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models

Zhaopeng Gu, Bingke Zhu, Guibo Zhu et al.

AAAI 2024paperarXiv:2308.15366

240

citations

CLIM: Contrastive Language-Image Mosaic for Region Representation

Size Wu, Wenwei Zhang, Lumin XU et al.

AAAI 2024paperarXiv:2312.11376

citations

COMMA: Co-articulated Multi-Modal Learning

Authors: Lianyu Hu, Liqing Gao, Zekang Liu et al.

AAAI 2024paperarXiv:2401.00268

Compound Text-Guided Prompt Tuning via Image-Adaptive Cues

Hao Tan, Jun Li, Yizhuang Zhou et al.

AAAI 2024paperarXiv:2312.06401

citations

Delving into Multimodal Prompting for Fine-Grained Visual Classification

Xin Jiang, Hao Tang, Junyao Gao et al.

AAAI 2024paperarXiv:2309.08912

citations

Domain-Controlled Prompt Learning

Qinglong Cao, Zhengqin Xu, Yuntian Chen et al.

AAAI 2024paperarXiv:2310.07730

citations

Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models

Yubin Wang, Xinyang Jiang, De Cheng et al.

AAAI 2024paperarXiv:2312.06323

Multi-Prompts Learning with Cross-Modal Alignment for Attribute-Based Person Re-identification

Yajing Zhai, Yawen Zeng, Zhiyong Huang et al.

AAAI 2024paperarXiv:2312.16797

citations

p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models

Haoyuan Wu, Xinyun Zhang, Peng Xu et al.

AAAI 2024paperarXiv:2312.10613

Semantic-Aware Data Augmentation for Text-to-Image Synthesis

Zhaorui Tan, Xi Yang, Kaizhu Huang

AAAI 2024paperarXiv:2312.07951

citations

Simple Image-Level Classification Improves Open-Vocabulary Object Detection

Ruohuan Fang, Guansong Pang, Xiao Bai

AAAI 2024paperarXiv:2312.10439

citations

VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection

Peng Wu, Xuerong Zhou, Guansong Pang et al.

AAAI 2024paperarXiv:2308.11681

156

citations

Weak Distribution Detectors Lead to Stronger Generalizability of Vision-Language Prompt Tuning

Kun Ding, Haojian Zhang, Qiang Yu et al.

AAAI 2024paperarXiv:2404.00603

citations