Abstract: Contrastive Language-Image Pre-training (CLIP) has shown strong performance in zero-shot image classification. However, it requires large datasets and high computational costs. In this paper ...

他很适合大家初入深度学习或者是Pytorch和Keras，希望这能够帮助初学深度学习的同学一个入门Pytorch或者Keras ...

Following papers are implemented using PyTorch. ResNeXt-29 8x64d 3.97 (1 run) 3.65 (average of 10 runs) 42h50m* ResNeXt-29 16x64d 3.58 (average of 10 runs) shake-shake-26 2x32d (S-S-I) 3.68 3.55 ...

Abstract: Large vision-language models revolutionized image classification and semantic segmentation paradigms. However, they typically assume a pre-defined set of categories, or vocabulary, at test ...

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...