ling-zzZ's repositories
AcfNet
This is an implementation for our paper "Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching"
ActiveStereoNet
Customized Implementation of ActiveStereoNet: End-to-End Self-Supervised Learning for Active Stereo Systems
AnyNet
Anytime Stereo Image Depth Estimation on Mobile Devices (ICRA 2019)
CMANet
A high-resolution and high-accuracy monocular network
CSPN
Convolutional Spatial Propagation Network
cvpr2019_Pyramid-Feature-Attention-Network-for-Saliency-detection
code and model of Pyramid Feature Selective Network for Saliency detection
DAFStereoNets
Domain-invariant Matching Space Stereo Networks (MS-Nets)
DeepPruner
DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch (ICCV 2019)
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。
DPT-season-depth
DPT refined on season dataset
EfficientDet.Pytorch
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
fast-depth
ICRA 2019 "FastDepth: Fast Monocular Depth Estimation on Embedded Systems"
hd3
Code for Hierarchical Discrete Distribution Decomposition for Match Density Estimation (CVPR 2019)
high-res-stereo
Hierarchical Deep Stereo Matching on High Resolution Images, CVPR 2019.
layout-parser
A unified toolkit for Deep Learning Based Document Image Analysis
Learning2AdaptForStereo
Code for: "Learning To Adapt For Stereo" accepted at CVPR2019
libSGM
Stereo Semi Global Matching by cuda
PyTorch-Pyramid-Feature-Attention-Network-for-Saliency-Detection
PyTorch implementation of the CVPR 2019 paper “Pyramid Feature Attention Network for Saliency Detection”
Real-time-self-adaptive-deep-stereo
Code for "Real-time self-adaptive deep stereo" - CVPR 2019 (ORAL)
stereo-from-mono
[ECCV 2020] Learning stereo from single images using monocular depth estimation networks
StereoDataset
An indoor real scene stereo dataset. It contains 2000 pairs of images with high accuracy disparity maps. We hope it can improve the the generalization performance of deep stereo matching networks.