There are 0 repository under cbam topic.
🍀 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
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.
training a classification model with xray14 dataset
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
A minimal Tensorflow2.0 implementation of Resnet on CIFAR10 dataset.
CBAM: Convolutional Block Attention Module for CIFAR100 on VGG19
The topic was from huawei cloud garbage classification competition.
This projected explored the effect of introducing channel and spatial attention mechanisms, namely SEN-Net, ECA-Net, and CBAM to existing CNN vision-based models such as VGGNet, ResNet, and ResNetV2 to perform the Facial Emotion Recognition task.
This repository provides the official implementation of 'Learning to ignore: rethinking attention in CNNs' accepted in BMVC 2021.
Pytorch implementation of "Wavelet-based residual attention network for image super-resolution"
Developed a deep novel coupled profile to frontal face recognition network incorporating pose as an auxiliary information via attention mechanism (i.e., implemented a pose attention module).
Data analysis done for my senior thesis.
An Image colorization algorithm using PatchGan and Convolution Block Attention Modules (CBAM)
Remote Sensing Change Detection
Research Project in A3C reinforcement learning algorithm used for path finding mobile robots
Spatiotemporal encoder-decoder networks with attention for remote photoplethysmography (rPPG)
Proof-of-concept implementation for automated CBAM report
PyTorch Code for BAM: Botteneck Attention Module and CBAM: Convolutional Block Attention Module