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acvnet

ACVNet: Attention Concatenation Volume for Accurate and Efficient Stereo Matching (CVPR 2022)

bag_of_tricks_for_image_classification_with_convolutional_neural_networks

experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc

ccks_ner

ccks2020 NER competitions

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

cs231n.github.io

Public facing notes page

deephomography

Content-Aware Unsupervised Deep Homography Estimation

ds-pwc-pytorch

ekf-imu-depth

[ECCV 2022] Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion Dynamics

gcndepth

Self-Supervised CNN-GCN Autoencoder

gpustat

📊 A simple command-line utility for querying and monitoring GPU status

ihn

This is the open source implementation of the CVPR2022 paper "Iterative Deep Homography Estimation"

jperceiver

[ECCV 2022]JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes

maskingdepth

motiongrouping

Repository accompanying the paper: Self-supervised Video Object Segmentation by Motion Grouping. C. Yang, H. Lamdouar, E. Lu, A. Zisserman, W. Xie.

opticalflowtoolkit

Python-based optical flow toolkit for existing popular dataset

p3depth

posnet

Pytorch Implementation of "PoSNet: 4x video frame interpolation using position-specific flow"

sc_depth_pl

SC-Depth (V1, V2, and V3) for Unsupervised Monocular Depth Estimation Webpage:https://jiawangbian.github.io/sc_depth_pl/

scv

Learning Optical Flow from a Few Matches (CVPR 2021)

sdfa-net_pytorch

segment-everything-everywhere-all-at-once

[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"

sfmlearner-pytorch

Pytorch version of SfmLearner from Tinghui Zhou et al.

stanford-cs-229-cn

A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译

sub-gc

Code repository for our paper "Comprehensive Image Captioning via Scene Graph Decomposition" in ECCV 2020.

tri-depth

[WACV 2023] Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem

unimatch

Unifying Flow, Stereo and Depth Estimation

unsupflownet

Unsupervised Flownet