SLDATU: Short–Long Distance Attention Transformer-Based U-Net for Hyperspectral Image Classification
Abstract: Transformer usually achieves good performance in hyperspectral image classification (HSIC), and existing transformer-based HSIC methods still face multiple challenges, such as insufficient ...
Abstract: Under hazy weather condition, images captured by electronic imaging devices frequently encounter a number of issues, such as blurring of image details and the poorly defined edges. Image ...
About the A2A Protocol The Agent-to-Agent (A2A) Protocol is an open standard that enables AI agents to discover, communicate, and transact with each other across different frameworks, vendors, and ...
The PyTorch Foundation also welcomed Safetensors as a PyTorch Foundation-hosted project. Developed and maintained by Hugging ...
TurboQuant PyTorch — Implementation + Deep Tutorial A from-scratch PyTorch implementation of TurboQuant (ICLR 2026), Google's two-stage vector quantization algorithm for compressing LLM key-value ...
NPR's Ayesha Rascoe talks to University of Texas engineering professor Hugh Daigle about why the U.S. imports most of the oil it consumes despite being one of the world's largest oil exporters. The ...
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