🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO

YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2, Mobilenetv3Small, EfficientNetLite, PP-LCNet, SwinTransformer YOLO), Module(CBAM, DCN), Pruning (EagleEye, Network Slimming), Quantization (MQBench) and Deployment (TensorRT, ncnn) Compression Tool Box.

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

More readable and flexible yolov5 with more backbone(gcn, resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer, etc) and (cbam，dcn and so on), and tensorrt

Model Compression—YOLOv3 with multi lightweight backbones(ShuffleNetV2 HuaWei GhostNet), attention, prune and quantization

CBAM implementation on TensowFlow

CBAM implementation on TensorFlow Slim

CBAM(Convolutional Block Attention Module) implementation on TensowFlow2.0

可以训练yolov5(v6.0)、yolox、小型网络，添加注意力机制

Official implementation of "BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection".

This repo contains the 3D implementation of the commonly used attention mechanism for imaging.

ZAM: Zero parameter Attention Module

Spatial and Channel Attention in CNN Architectures for Image Classification task

This is a torchvision style CNN models collection based on pytorch.

Code for paper "Channel Pruning Guided by Spatial and Channel Attention for DNNs in Intelligent Edge Computing"

Hyperspectral Unmixing via Dual Attention Convolutional Neural Networks | 基于双注意力卷积神经网络的高光谱图像解混

pytorch implementation of several CNNs for image classification

CBAM: Convolutional Block Attention Module for CIFAR100 on VGG19

training a classification model with xray14 dataset