最新

• Unnoticed Yet Effective: A Hybrid Physical Camouflage Framework Against DNNs and Human Perception
• MME-SCI: A Comprehensive and Challenging Science Benchmark for Multimodal Large Language Models
• DiverSeed: Integrating Active Learning for Target Domain Data Generation in Instruction Tuning
• VLRMBench: A Comprehensive and Challenging Benchmark for Vision-Language Reward Models
• MM-CamObj: A Comprehensive Multimodal Dataset for Camouflaged Object Scenarios
• EIAD: Explainable Industrial Anomaly Detection Via Multi-Modal Large Language Models
• GIST: Improving Parameter Efficient Fine Tuning via Knowledge Interaction
• TTE: Two Tokens are Enough to Improve Parameter-Effcient Tuning
• LAMM: Label Alignment for Multi-Modal Prompt Learning
• iDAT: inverse Distillation Adapter-Tuning
• Ege-unet: an efficient group enhanced unet for skin lesion segmentation
• MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion Segmentation