clip model

BioDPP: Dynamic Prompt Policy Learning for Biomedical Vision-Language Models AAAI 2026 CLIP-IT: CLIP-based Pairing of Histology Images with Privileged Textual Information WACV 2026 Collaborative Representation Learning for Alignment of Tactile, Language, and Vision Modalities AAAI 2026 LoGoSeg: Integrating Local and Global Features for Open-Vocabulary Semantic Segmentation AAAI 2026 PromptMoE: Generalizable Zero-Shot Anomaly Detection via Visually-Guided Prompt Mixtures AAAI 2026 ResProto-FD: Visual-Language Residual Prototype Sets for Generalized Face Forgery Detection AAAI 2026 Sea-CLIP: Mining Semantic-Aware Representations for Few-Shot Anomaly Detection with CLIP WACV 2026 Self-Enhanced Image Clustering with Cross-Modal Semantic Consistency AAAI 2026 Structure-Aware Feature Rectification with Region Adjacency Graphs for Training-free Open-Vocabulary Semantic Segmentation WACV 2026 As Pseudo-Label Free as Possible: Leveraging Adaptive Feature Generation for Sparsely Annotated Object Detection AAAI 2025 Attribute-based Visual Reprogramming for Vision-Language Models ICLR 2025 AutoArabic: A Three-Stage Framework for Localizing Video-Text Retrieval Benchmarks EMNLP 2025 Building a Multi-modal Spatiotemporal Expert for Zero-shot Action Recognition with CLIP AAAI 2025 Captured by Captions: On Memorization and its Mitigation in CLIP Models ICLR 2025 CLIP-driven View-aware Prompt Learning for Unsupervised Vehicle Re-identification AAAI 2025 CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP ACL 2025 CLIP-MSM: A Multi-Semantic Mapping Brain Representation for Human High-Level Visual Cortex AAAI 2025 CLIPping Imbalances: A Novel Evaluation Baseline and PEARL Dataset for Pedestrian Attribute Recognition WACV 2025 CLIP-UP: A Simple and Efficient Mixture-of-Experts CLIP Training Recipe with Sparse Upcycling EMNLP 2025 CMFS: CLIP-Guided Modality Interaction for Mitigating Noise in Multi-Modal Image Fusion and Segmentation IJCAI 2025 Details Matter for Indoor Open-vocabulary 3D Instance Segmentation ICCV 2025 Developing Japanese CLIP Models Leveraging an Open-weight LLM for Large-scale Dataset Translation NAACL 2025 DictAS: A Framework for Class-Generalizable Few-Shot Anomaly Segmentation via Dictionary Lookup ICCV 2025 DiffCLIP: Few-shot Language-driven Multimodal Classifier AAAI 2025 Does VLM Classification Benefit from LLM Description Semantics? AAAI 2025