会员服务
Generative Semantic Coding for Ultra-Low Bitrate Visual Communication and Analysis
Generative Semantic Coding for Ultra-Low Bitrate Visual Communication and Analysis
Arxiv
0+阅读 · 10月31日
Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications
Arxiv
0+阅读 · 10月31日
CoMViT: An Efficient Vision Backbone for Supervised Classification in Medical Imaging
CoMViT: An Efficient Vision Backbone for Supervised Classification in Medical Imaging
Arxiv
0+阅读 · 10月31日
Integrating Video and Text: A Balanced Approach to Multimodal Summary Generation and Evaluation
Arxiv
0+阅读 · 10月31日
Semantic Alignment and Reinforcement for Data-Free Quantization of Vision Transformers
Arxiv
0+阅读 · 10月31日
BALR-SAM: Boundary-Aware Low-Rank Adaptation of SAM for Resource-Efficient Medical Image Segmentation
BALR-SAM: Boundary-Aware Low-Rank Adaptation of SAM for Resource-Efficient Medical Image Segmentation
Arxiv
0+阅读 · 10月31日
Sim2Real Diffusion: Leveraging Foundation Vision Language Models for Adaptive Automated Driving
Arxiv
0+阅读 · 10月31日
Vision Transformer for Robust Occluded Person Reidentification in Complex Surveillance Scenes
Vision Transformer for Robust Occluded Person Reidentification in Complex Surveillance Scenes
Arxiv
0+阅读 · 10月31日
LV-UNet: A Lightweight and Vanilla Model for Medical Image Segmentation
LV-UNet: A Lightweight and Vanilla Model for Medical Image Segmentation
Arxiv
0+阅读 · 10月31日
Common Task Framework For a Critical Evaluation of Scientific Machine Learning Algorithms
Arxiv
0+阅读 · 10月31日
SteerVLM: Robust Model Control through Lightweight Activation Steering for Vision Language Models
Arxiv
0+阅读 · 10月30日
Dynamic Context-Aware Scene Reasoning Using Vision-Language Alignment in Zero-Shot Real-World Scenarios
Dynamic Context-Aware Scene Reasoning Using Vision-Language Alignment in Zero-Shot Real-World Scenarios
Arxiv
0+阅读 · 10月30日
Improving Classification of Occluded Objects through Scene Context
Arxiv
0+阅读 · 10月30日
Emu3.5: Native Multimodal Models are World Learners
Arxiv
0+阅读 · 10月30日
A Hybrid Framework Bridging CNN and ViT based on Theory of Evidence for Diabetic Retinopathy Grading
Arxiv
0+阅读 · 10月30日
参考链接
微信扫码咨询专知VIP会员
Top