PyTorch code for hierarchical k-means -- a data curation method for self-supervised learning

Refine high-quality datasets and visual AI models

PyTorch code and models for the DINOv2 self-supervised learning method.

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Official repository for "Self-Supervised Video Transformer" (CVPR'22)

FFCV: Fast Forward Computer Vision (and other ML workloads!)

Pytorch implementation of LOST unsupervised object discovery method

LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …

Weakly-supervised object detection.

Code release for "Improving Weakly Supervised Lesion Segmentation using Multi-Task Learning"

PyTorch codes for our papers "Multiple Instance Detection Network with Online Instance Classifier Refinement" and "PCL: Proposal Cluster Learning for Weakly Supervised Object Detection".

Zero-Shot Semantic Segmentation

Depth-aware Domain Adaptation in Semantic Segmentation

Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation