[ECCV 2018] DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency

Towards Human-Machine Cooperation: Self-supervised Sample Mining for Object Detection

PyTorch implementation to train MortonNet and use it to compute point features. MortonNet is trained in a self-supervised fashion, and the features can be used for general tasks like part or semantic segmentation of point clouds.

Repository for Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction (CVPR2019)

Self-Supervised Learning of 3D Human Pose using Multi-view Geometry (CVPR2019)

Python codes and notebooks for the summer school on computer vision and machine learning in CVIT, IIIT Hyderabad, 2019

Code for our CVPR 2019 work.

GREMLIN - learn MRF/potts model from input multiple sequence alignment! Implementation now available in C++ and Tensorflow/Python!

Self-Supervised Deep Learning for Fisheye Image Rectification (pytorch implementation).

A research on self-supervised learning with the interest of applying it into NLP field.

Capstone Project

self-supervised domain adaptation

Official Python Implementation for "CycleLK: Self-Supervised Cycle Lucas-Kanade Network for Correspondence Flow", In Submission

Computer Vision final project

Code for "self-supervised visual feature learning with curriculum"

Autoregressive Predictive Coding: An unsupervised autoregressive model for speech representation learning

The source code of our IJCAI 2018 paper "Better and Faster: Knowledge Transfer from Multiple Self-supervised Learning Tasks via Graph Distillation for Video Classification".

Explores jigsaw puzzles solvinig as pre-text task for fine grained classification for bird species identification (Implemented with pyTorch)

SSL-FEW-SHOT

self-supervised learning, deep learning, representation learning, RotNet, temporal convolutional network(TCN), deformation transformation, sketch pre-train, sketch classification, sketch retrieval, free-hand sketch, official code of paper "Deep Self-Supervised Representation Learning for Free-Hand Sketch"