Abstract: Remote sensing image target detection plays a pivotal role in Earth observation, offering substantial value for applications such as urban planning and environmental monitoring. Due to the ...
KernelOptimizer is an open-source tool that automates CUDA kernel optimization for PyTorch workloads using large language models (LLMs). Inspired by Stanford CRFM’s fast kernel research, it leverages ...
Abstract: This paper presents DSConvNet, a novel architecture based on depthwise separable convolutional blocks for efficient multi-class image classification. Despite progress in compact ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results