Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
الميزات الرئيسية لـ jongchan/attention-module هي: Attention Mechanisms, رؤية الحاسوب, Image Classification Architectures.
تشمل البدائل مفتوحة المصدر لـ jongchan/attention-module: hujie-frank/senet — Squeeze-and-Excitation Networks. kaiminghe/resnet-1k-layers — Deep Residual Networks with 1K Layers. facebookresearch/resnext — Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks. liuzhuang13/densenet — DenseNet is a computer vision model and convolutional neural network implementation designed for image recognition and… implus/sknet. pytorch/vision — This project is a comprehensive computer vision library for the PyTorch ecosystem, providing a standardized collection…
