Med-PerSAM: One-Shot Visual Prompt Tuning for Personalized Segment Anything Model in Medical Domainby Hangyul Yoon,…
ENCLIP: Ensembling and Clustering-Based Contrastive Language-Image Pretraining for Fashion Multimodal Search with Limited Data and…
Enhancing Instruction-Following Capability of Visual-Language Models by Reducing Image Redundancyby Te Yang, Jian Jia, Xiangyu…
Revisiting the Integration of Convolution and Attention for Vision Backboneby Lei Zhu, Xinjiang Wang, Wayne…
Fast Disentangled Slim Tensor Learning for Multi-view Clusteringby Deng Xu, Chao Zhang, Zechao Li, Chunlin…
Multi-modal Iterative and Deep Fusion Frameworks for Enhanced Passive DOA Sensing via a Green Massive…
RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Modelsby Maya Varma, Jean-Benoit Delbrouck, Zhihong…
Addressing Uncertainty in LLMs to Enhance Reliability in Generative AIby Ramneet Kaur, Colin Samplawski, Adam…
Enhancing Osteoporosis Detection: An Explainable Multi-Modal Learning Framework with Feature Fusion and Variable Clusteringby Mehdi…
S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre-Training for Autonomous Drivingby Maciej…