A list of papers that studies Novel Class Discovery

A beautiful, simple, clean, and responsive Jekyll theme for academics

Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation, ECCV 2022

程序员在家做饭方法指南。Programmer's guide about how to cook at home (Chinese).

Contrastive Language-Image Pretraining

Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization

A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition

IJCAI2020 & IJCV 2021 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo

Self-supervised Augmentation Consistency for Adapting Semantic Segmentation (CVPR 2021)

Crawl & visualize ICLR papers and reviews.

Deep Clustering

Datasets, Transforms and Models specific to Computer Vision

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more

Pytorch implementation of deep person re-identification models.

Computer Vision Annotation Tool (CVAT) is a web-based tool which helps to annotate video and images for Computer Vision algorithms

Instructions and baseline code for the DukeMTMC-VideoReID dataset

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

Fine-tune pretrained Convolutional Neural Networks with PyTorch

A small package to create visualizations of PyTorch execution graphs

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