YuanWanglll

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Best-Incremental-Learning

An Incremental Learning, Continual Learning, and Life-Long Learning Repository

PyCIL

PyCIL: A Python Toolbox for Class-Incremental Learning

PCS-FUDA

Official implementation of PCS in essay "Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation"

RePRI-for-Few-Shot-Segmentation

(CVPR 2021) Code for our method RePRI for Few-Shot Segmentation. Paper at http://arxiv.org/abs/2012.06166

RoadDamageDetector

google-research

Google Research

cdfsl-benchmark

(ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System

ALFA

Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"

rddc2020

road damage detection challenge 2020

fscil

Official repository for Few-Shot Class-Incremental Learning (FSCIL)

incremental_learning.pytorch

A collection of incremental learning paper implementations.

Awesome-Incremental-Learning

Awesome Incremental Learning

continual_learning_papers

Relevant papers in Continual Learning

negative-margin.few-shot

PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”

SDC-IL

Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).

Heterogeneous-Domain-Generalization-via-Domain-Mixup

Code release of paper 'Heterogeneous Domain Generalization via Domain Mixup'

AWGIM

Code for paper "Attentive Weights Generation for Few Shot Learning via Information Maximization"

DeepInversion

Official PyTorch implementation of Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion (CVPR 2020)

OKDDip-AAAI2020

This is a PyTorch-1.0 implementation for the AAAI-2020 paper (Online Knowledge Distillation with Diverse Peers).

few-shot-domain-adaptation-by-causal-mechanism-transfer

Implementation for Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)

MMT

[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.

meta-transfer-learning

TensorFlow and PyTorch implementations of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

FSL-DAPNA

Code for FSL model DAPNA (ICML2020).

SKD

SKD : Self-supervised Knowledge Distillation for Few-shot Learning

BBN

The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition

CMC

"Contrastive Multiview Coding", "Momentum Contrast for Unsupervised Visual Representation Learning", and "Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination"

JigenDG

Repository for the CVPR19 oral paper "Domain Generalization by Solving Jigsaw Puzzles"

rfs