YananGu

CAM

Class Activation Mapping

Knowledge-Distillation-Zoo

Pytorch implementation of various Knowledge Distillation (KD) methods.

Transformer-in-Vision

Recent Transformer-based CV and related works.

active-learning

SimSiam

A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'

t-SNE-tutorial

A tutorial on the t-SNE learning algorithm

mammoth

An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning

FMix

Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'

awesome-normalization-techniques

Papers for normalization techniques, released codes collections.

cnaps

Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Normalization for Meta-Learning"

MoEx

MoEx (Moment Exchange)

IB-Loss

[ICCV 2021] Influence-balanced Loss for Imbalanced Visual Classification

UCL

Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)

SuperMix

Pytorch implementation of CVPR2021 paper: SuperMix: Supervising the Mixing Data Augmentation

iMTFA

Code accompanying the paper 'Incremental Few-Shot Instance Segmentation'

NCL

Neighborhood Contrastive Learning for Novel Class Discovery, CVPR 2021

CCA-SSG

Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484

awesome-active-learning

A list of active learning methods for deep learning.

DDE_CIL

ContinualPrototypeEvolution

Codebase for Continual Prototype Evolution (CoPE) to attain perpetually representative prototypes for online and non-stationary datastreams. Includes implementation of the Pseudo-Prototypical Proxy (PPP) loss.

transfer_broad

Pytorch Code for "A Broad Study on the Transferability of Visual Representations with Contrastive Learning" (ICCV 2021)

ISD

ISD: Self-Supervised Learning by Iterative Similarity Distillation

mvc

CV_A-FAN

[TMLR] "Adversarial Feature Augmentation and Normalization for Visual Recognition", Tianlong Chen, Yu Cheng, Zhe Gan, Jianfeng Wang, Lijuan Wang, Zhangyang Wang, Jingjing Liu

SPS

2021_ICCV_Me-Momentum

DivAug

agmax

PyTorch code of my WACV 2022 paper Improving Model Generalization by Agreement of Learned Representations from Data Augmentation

meta-training-setup

This repositorie es the code of the paper Optimizing Reusable Knowledge for Continual Learning via Metalearning.

HindsightAnchor

Repository to contain Hindsight Anchor Learning Code