[MICCAI'24] Official implementation of "BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection".
-
Updated
Jul 20, 2024 - Python
[MICCAI'24] Official implementation of "BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection".
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
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
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
This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO
Spatiotemporal encoder-decoder networks with attention for remote photoplethysmography (rPPG)
Remote Sensing Change Detection
Pytorch implementation of "Wavelet-based residual attention network for image super-resolution"
Code for paper "Channel Pruning Guided by Spatial and Channel Attention for DNNs in Intelligent Edge Computing"
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).
Research Project in A3C reinforcement learning algorithm used for path finding mobile robots
This repo contains the 3D implementation of the commonly used attention mechanism for imaging.
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.
This repository provides the official implementation of 'Learning to ignore: rethinking attention in CNNs' accepted in BMVC 2021.
A minimal Tensorflow2.0 implementation of Resnet on CIFAR10 dataset.
CBAM(Convolutional Block Attention Module) implementation on TensowFlow2.0
The topic was from huawei cloud garbage classification competition.
a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results
Add a description, image, and links to the cbam topic page so that developers can more easily learn about it.
To associate your repository with the cbam topic, visit your repo's landing page and select "manage topics."