dengqiangzhang-tju Goto Github PK

attention-module

Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

borderdet

Stay tuned for updates!

cbam.pytorch

Non-official implement of Paper：CBAM: Convolutional Block Attention Module

cplusplusthings

C++那些事

cvpr2020-paper-code-interpretation

cvpr2020/cvpr2019／cvpr2018/cvpr2017 papers，极市团队整理

danet

Dual Attention Network for Scene Segmentation (CVPR2019)

danet-pytorch

[pytorch] DANet: Dual Attention Network for Scene Segmentation

deep-mri-reconstruction

Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo

deep_learning_object_detection

A paper list of object detection using deep learning.

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

detr

End-to-End Object Detection with Transformers

directionalfeature

Learning Directional Feature Maps for Cardiac MRI Segmentation (MICCAI2020)

dqzhang

eccv2020-code

ECCV 2020 论文开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2020开源项目

fcos

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

fda

Fourier Domain Adaptation for Semantic Segmentation

feature-selective-anchor-free-module-for-single-shot-object-detection

A PyTorch Implementation of Feature Selective Anchor-Free Module for Single-Shot Object Detection

few-shot-object-detection-dataset

fpn.pytorch

Pytorch implementation of Feature Pyramid Network (FPN) for Object Detection

gcn-pytorch

Graph Convolution Network for PyTorch

hrnet-semantic-segmentation

This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

kcn

Kriging Convolutional Networks (KCN) in Tensoflow

kcnet_pytorch

Partial implemention of KCNet

miccai-opensourcepapers

MICCAI 2020 Open Source Papers

modl

MoDL: Model-Based Deep Learning Architecture for Inverse Problems

object_detection

Summary of object detection（modules&&improvements）

os2d

Code for "OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features"

pytorch-complex-unet

UNet using complex convolution and data consistency layer.

pytorch-fcn

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

pytorch-ssim

pytorch structural similarity (SSIM) loss