The rapid advancement of medical imaging technologies requires the development of advanced, automated, and interpretable diagnostic tools for clinical decision-making. Although convolutional neural ...

Medical Report Generation With Knowledge Distillation and Multi-Stage Hierarchical Attention in Vision Transformer Encoder and GPT-2 Decoder ...

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V ...

The recent wave of innovations in transformer architectures, self-supervised learning, multimodal vision-language integration, 3D neural rendering and model efficiency is pushing computer vision ...

Atomic Fe/Co–N–C materials represent one promising type of noble-metal-free oxygen reduction reaction (ORR) catalyst for metal–air batteries and fuel cells, but their inherent features of complex and ...

Our Galaxy Appears To Be Part Of A Structure So Large It Challenges Our Current Models Of Cosmology The tiny little red dot is us.

In the current multi-modality support within vLLM, the vision encoder (e.g., Qwen_vl) and the language model decoder run within the same worker process. While this tightly coupled architecture is ...

Apple revealed that it plans to release an improved version of the Vision Pro this year and an even more improved version by 2027.