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amgl-ijcai16

Source code for the published paper "Parameter-Free Auto-Weighted Multiple Graph Learning" IJCAI 2016

autonovel

"Automatically Discovering and Learning New Visual Categories with Ranking Statistics" by Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman (ICLR 2020)

awesome-multi-view-clustering

collections for advanced, novel multi-view clustering methods(papers , codes and datasets)

clip

CLIP: Connecting Text and Image (Learning Transferable Visual Models From Natural Language Supervision)

clip-rsicd

clustering-codes

This repository contains codes for performing some clustering techniques including KMeans and Sparse Subspace Clustering

constrained-clustering

Repository for the Constraint Satisfaction Clustering method and other constrained clustering algorithms

contrastive-learner

A simple to use pytorch wrapper for contrastive self-supervised learning on any neural network

corinfomax-ssl

PyTorch implementation of CorInfoMax

cpac

Pytorch implementation of our article "Clustering-driven Deep Embedding with Pairwise Constraints"

cvpr-latex-template

Extended LaTeX template for CVPR/ICCV papers

deep-spectral-segmentation

[CVPR 2022] Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

dl-cs-7-6-4-3

my solutions to problem sets

dtc

"Learning to Discover Novel Visual Categories via Deep Transfer Clustering" by Kai Han, Andrea Vedaldi, Andrew Zisserman (ICCV 2019)

eecs-498-007-598-005-solutions

EECS 498-007 / 598-005 Deep Learning for Computer Vision

generalized-category-discovery

Code for our CVPR 2022 paper 'Generalized Category Discovery'. Project page: https://www.robots.ox.ac.uk/~vgg/research/gcd/

hierarchical_weighted_scl

EMNLP 2022 long paper "Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning"

imagenette

A smaller subset of 10 easily classified classes from Imagenet, and a little more French

infocl

[CVPR 2022 Oral] Rethinking Minimal Sufficient Representation in Contrastive Learning

information-theoretic-prompts

joint-contrastive-learning

learning_by_association

This repository contains code for the paper Learning by Association - A versatile semi-supervised training method for neural networks (CVPR 2017) and the follow-up work Associative Domain Adaptation (ICCV 2017).

lmvl

lmvsc

mlan

python implementation of Feiping Nei's AAAI 2017

ncdss

Novel Class Discovery in Semantic Segmentation, CVPR 2022

ncl

Neighborhood Contrastive Learning for Novel Class Discovery, CVPR 2021

neurips22-fmvacc

Introduction and related code for our NeurIPS22 paper ‘ Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences’

one-stage-and-two-stage-object-detector