最新

• GIST: Improving Parameter Efficient Fine Tuning via Knowledge Interaction
• From Raw Video to Pedagogical Insights: A Unified Framework for Student Behavior Analysis
• LAMM: Label Alignment for Multi-Modal Prompt Learning
• iDAT: inverse Distillation Adapter-Tuning
• Editing outdoor scenes with a large annotated synthetic dataset
• Learning to Floorplan like Human Experts via Reinforcement Learning
• Ege-unet: an efficient group enhanced unet for skin lesion segmentation
• MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion Segmentation
• Spatial Attention Guided Local Facial Attribute Editing
• GOS: A Large-Scale Annotated Outdoor Scene Synthetic Dataset
• 基于GAN的图片属性编辑