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2020gaofen

2020 Gaofen Challenge data, baselines, and metrics

aerialdetection

amr

augfpn

source code of AugFPN

awesome-anchor-free-object-detection

In this project, we focus on collection the anchor free object detection paper or code.

awesome-vision-attentions

Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

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)

bmec

Bone Morrow Erythroid cells dataset for classification research.

captum-detectron2

cdcn

Central Difference Convolutional Networks (CVPR'20)

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization.

cnn_receptive_field

Python program to calculate and visualize effective receptive field of a layer in deep convolution neural network

cutblur

Rethinking Data Augmentation for Image Super-resolution (CVPR 2020)

cvpr2023-papers-with-code

CVPR 2023 论文和开源项目合集

d-close

A PyTorch implementation of D-CLOSE

dbscan-python

Image pixel clustering with DBSCAN algorithm

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

dermoscopic_img_retrieval

[MedIA] Dermoscopic image retrieval based on rotation-invariance deep hashing

detectors

DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution

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。

dlr_facialemotionrecognition

Deep Reinforcement Learning in emotion recognition on pictures

do-conv

Depthwise Over-parameterized Convolutional Layer

dsarsim

Dummy Synthetic Aperture Radar Simulator, free and open-source

edsr_wdsr_pytorch

PyTorch version EDSR、WDSR，添加了注释以及使用说明

fast-neural-style

Feedforward style transfer

fft-conv-pytorch

Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.

gcn_tf

Implementation of Graph Convolutional Networks in TensorFlow

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...

grad_cam_pytorch-1.01

CNN可视化代码，帮助了解建立GradCam过程， 代码中文注解

gradient-centralization

A New Optimization Technique for Deep Neural Networks