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
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), Quantizat...
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
[MICCAI'24] Official implementation of "BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection".
CBAM(Convolutional Block Attention Module) implementation on TensowFlow2.0
This repo contains the 3D implementation of the commonly used attention mechanism for imaging.
#计算机科学#CBAM: Convolutional Block Attention Module for CIFAR100 on VGG19
Spatial and Channel Attention in CNN Architectures for Image Classification task
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
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"
pytorch implementation of several CNNs for image classification