Topic: cbam Goto Github
Some thing interesting about cbam
Some thing interesting about cbam
cbam,Proof-of-concept implementation for automated CBAM report
User: abiriadev
cbam,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.
User: andrzejmiskow
cbam,Data analysis done for my senior thesis.
User: anushakuppahally
cbam,This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO
User: argusswift
cbam,Spatial and Channel Attention in CNN Architectures for Image Classification task
User: arp95
cbam,Pytorch implementation of "Wavelet-based residual attention network for image super-resolution"
User: brunobelloni
Home Page: https://www.sciencedirect.com/science/article/pii/S0925231219316467
cbam,ZAM: Zero parameter Attention Module
User: developer0hye
cbam,training a classification model with xray14 dataset
User: doublechenching
cbam,Code for paper "Channel Pruning Guided by Spatial and Channel Attention for DNNs in Intelligent Edge Computing"
User: fangvv
cbam,This repository provides the official implementation of 'Learning to ignore: rethinking attention in CNNs' accepted in BMVC 2021.
User: firasl
cbam,Remote Sensing Change Detection
User: ganajayant
cbam,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.
User: gumpest
cbam,Model Compression—YOLOv3 with multi lightweight backbones(ShuffleNetV2 HuaWei GhostNet), attention, prune and quantization
User: halotrouvaille
Home Page: https://github.com/HaloTrouvaille/YOLO-Multi-Backbones-Attention
cbam,PyTorch Code for BAM: Botteneck Attention Module and CBAM: Convolutional Block Attention Module
User: haruishi43
cbam,a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results
User: implus
cbam,An Image colorization algorithm using PatchGan and Convolution Block Attention Modules (CBAM)
User: kliu513
cbam,This is a torchvision style CNN models collection based on pytorch.
User: knight825
cbam,CBAM implementation on TensowFlow
User: kobiso
cbam,CBAM implementation on TensorFlow Slim
User: kobiso
cbam,This repo contains the 3D implementation of the commonly used attention mechanism for imaging.
User: laugh12321
cbam,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
User: laugh12321
Home Page: https://github.com/laugh12321/DACN
cbam,Research Project in A3C reinforcement learning algorithm used for path finding mobile robots
User: manuotel
cbam,Official implementation of "BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection".
User: mkang315
cbam,Spatiotemporal encoder-decoder networks with attention for remote photoplethysmography (rPPG)
User: nkeenu
cbam,CBAM: Convolutional Block Attention Module for CIFAR100 on VGG19
User: peachypie98
cbam,pytorch implementation of several CNNs for image classification
User: syt2
cbam,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).
User: tatamoktari
Home Page: https://ieeexplore.ieee.org/abstract/document/10007935
cbam, The topic was from huawei cloud garbage classification competition.
User: x670783915
cbam,可以训练yolov5(v6.0)、yolox、小型网络,添加注意力机制
User: xialuxi
cbam,🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
User: xmu-xiaoma666
cbam,CBAM(Convolutional Block Attention Module) implementation on TensowFlow2.0
User: zhangkaifang
cbam,A minimal Tensorflow2.0 implementation of Resnet on CIFAR10 dataset.
User: zhangkaifang
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