some attention implements
翻译 - 一些注意工具
Fast and memory-efficient exact attention
该项目目标是实现一个既能让深度学习小白也能搞懂，又能服务科研和工业社区的代码库。从代码角度，让世界上没有难读的论文
Scene text recognition
翻译 - 场景文字识别
Keras Attention Layer (Luong and Bahdanau scores).
#自然语言处理#A PyTorch implementation of the Transformer model in "Attention is All You Need".
翻译 - “注意就是您所需要的一切”中Transformer模型的PyTorch实现。
#Awesome#An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
使用 attention 实现 nlp 和 cv 相关模型。
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.
Classification with backbone Resnet and attentions: SE-Channel Attention, BAM - (Spatial Attention, Channel Attention, Joint Attention), CBAM - (Spatial Attention, Channel Attention, Joint Attention)
Ring attention implementation with flash attention
#计算机科学#ResNeSt: Split-Attention Networks
翻译 - ResNeSt：注意力分散网络
Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.
[CVPR 2023] Neighborhood Attention Transformer and [arXiv] Dilated Neighborhood Attention Transformer repository.
This repository contain various types of attention mechanism like Bahdanau , Soft attention , Additive Attention , Hierarchical Attention etc in Pytorch, Tensorflow, Keras
Visual Attention based OCR
External Attention Network
Code for paper "Attention on Attention for Image Captioning". ICCV 2019
LSTM-Attention
list of efficient attention modules
翻译 - 有效关注模块列表
cnn+rnn+attention: vgg(vgg16,vgg19)+rnn(LSTM, GRU)+attention, resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152)+rnnrnn(LSTM, GRU)+attention, inception_v4+rnn(LSTM, GRU)+attention, inception_resnet_v2+r...
Dual Attention Network for Scene Segmentation (CVPR2019)