LY54's repositories
pytorch-grad-cam
Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM
Model-Interpretation
Overview of different model interpretability libraries.
2020Gaofen
2020 Gaofen Challenge data, baselines, and metrics
DLR_FacialEmotionRecognition
Deep Reinforcement Learning in emotion recognition on pictures
py-local-maxima
Find local maxima of a 2D image using Python and parallel processing techniques.
awesome-anchor-free-object-detection
In this project, we focus on collection the anchor free object detection paper or code.
PyTorch_YOLOv4
PyTorch implementation of YOLOv4
AugFPN
source code of AugFPN
SimpleCVReproduction
reproduce simple cv project including classification, object detection, segmentation, keypoint detection, tracking, attention mechanism:smile: etc.
R-CenterNet
detector for rotated-objections based on CenterNet/基于CenterNet的旋转目标检测
pyconv
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
cnn_receptive_field
Python program to calculate and visualize effective receptive field of a layer in deep convolution neural network
awesome_deep_learning_interpretability
深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)
pygcn
Graph Convolutional Networks in PyTorch
Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
DO-Conv
Depthwise Over-parameterized Convolutional Layer
Keras-YOLOv4
supports training, at least 41.1% mAP.支持训练，至少41.1%mAP。少数的给出精度的复现。
Gradient-Centralization
A New Optimization Technique for Deep Neural Networks
yolov5-comment
yolov5的注释版本
DetectoRS
DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution
yolov4-pytorch-1
这是一个YoloV4-pytorch的源码，可以用于训练自己的模型。
yolov4-tiny-pytorch
这是一个YoloV4-tiny-pytorch的源码，可以用于训练自己的模型。
YOLOv4-pytorch
This is a repository of YOLOv4-pytorch with PASCAL VOC and COCO
keras-yolo4
A Keras implementation of YOLOv4 (Tensorflow backend)
voc2007_for_yolo_torch
prepare dataset for voc https://github.com/ultralytics/yolov3
Vessel-centerline-extraction
根据最短路径回溯算法提取血管的中心线
Grad-CAM.pytorch
pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...
Pyramid-Attention-Networks
PyTorch code for our paper "Pyramid Attention Networks for Image Restoration" with new SOTA results on multiple image restoration tasks
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.