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masf

Domain Generalization via Model-Agnostic Learning of Semantic Features

meta-critic-networks

Pytorch code for Arxiv Paper: Learning to learn: Meta-Critic Networks for Sample-Efficient Learning

meta-dataset

A dataset of datasets for learning to learn from few examples

meta-learning-lstm

Optimization as a Model for Few-shot Learning

meta-learning-lstm-pytorch

Optimization as a Model for Few-shot Learning

meta-learning-papers

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

meta-transfer-learning

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

meta-weight-net

NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).

metaoptnet

Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)

mmt

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

negative-margin.few-shot

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

nist-fsd

NIST-FSD: a benchmark for few-shot object detection.

objectdetectionimbalance

Lists the papers related to imbalance problems in object detection

okddip-aaai2020

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

omniglot

Omniglot data set for one-shot learning

openlongtailrecognition-oltr

Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)

pcs-fuda

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

plantvillage-dataset

Dataset of diseased plant leaf images and corresponding labels

poolnet

Code for our CVPR 2019 paper "A Simple Pooling-Based Design for Real-Time Salient Object Detection"

prototypical-networks

Prototypical Networks for Few-shot Learning

pycil

PyCIL: A Python Toolbox for Class-Incremental Learning

pytorch-tutorial

Build your neural network easy and fast

pytorch-yolov3

Minimal PyTorch implementation of YOLOv3

rddc2020

road damage detection challenge 2020

real-world-masked-face-dataset

Real-World Masked Face Dataset，口罩人脸数据集

repdistiller

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

repri-for-few-shot-segmentation

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

rfs

roaddamagedetector

rpsnet

Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019