zhangmin's repositories
Revisiting_Single_Depth_Estimation
official implementation of "Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps with Accurate Object Boundaries"
Algorithm-DIY
整理一下各种算法
automl
Google Brain AutoML
awesome-depth
A curated list of publication for depth estimation
BridgeDepthFlow
Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence, CVPR 2019
BRNet
(CVPR 2021) Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds
bts
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation
caffe
Caffe: a fast open framework for deep learning.
connecting_the_dots
This repository contains the code for the paper "Connecting the Dots: Learning Representations for Active Monocular Depth Estimation" https://avg.is.tuebingen.mpg.de/publications/riegler2019cvpr
cvpr2019
cvpr2019 papers，极市团队整理
DAIN
Depth-Aware Video Frame Interpolation (CVPR 2019)
DANet
Dual Attention Network for Scene Segmentation (CVPR2019)
DCL
Destruction and Construction Learning for Fine-grained Image Recognition
DeepLiDAR
Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color Image
DenseTorch
An easy-to-use wrapper for work with dense per-pixel tasks in PyTorch (including multi-task learning)
Depth-Estimation
paper list
DiverseDepth
The code and data of DiverseDepth
DMRA
Code and Dataset for ICCV 2019 paper. "Depth-induced Multi-scale Recurrent Attention Network for Saliency Detection".
IIC
Invariant Information Clustering for Unsupervised Image Classification and Segmentation
mannequinchallenge
Inference code and trained models for "Learning the Depths of Moving People by Watching Frozen People."
mmdetection
Open MMLab Detection Toolbox and Benchmark
models
Models and examples built with TensorFlow
RNN_depth_pose
Recurrent Neural Network for (Un-)supervised Learning of Monocular VideoVisual Odometry and Depth
rvos
RVOS: End-to-End Recurrent Network for Video Object Segmentation
SARPN
Structure-Aware Residual Pyramid Network for Monocular Depth Estimation IJCAI 2019
SharpNet
Fast and Accurate Recovery of Occluding Contours in Monocular Depth Estimation
Sparse-Depth-Completion
Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. 1st place on KITTI. (MVA 2019 Conference)
VMZ
VMZ: Model Zoo for Video Modeling
VNL_Monocular_Depth_Prediction
Monocular Depth Prediction