cxchenxi-0313 Goto Github PK

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Official Pytorch Implementation for ICML'19 paper: Unsupervised Deep Learning by Neighbourhood Discovery

bilinear-cnn

PyTorch implementation of bilinear CNN for fine-grained image recognition

billion-scale-semi-supervised-learning

Implementing Billion-scale semi-supervised learning for image classification using Pytorch

class-balanced-loss

Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

class-balanced-loss-pytorch

Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"

classifier-balancing

This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020

dcl

Destruction and Construction Learning for Fine-grained Image Recognition

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

iic

Invariant Information Clustering for Unsupervised Image Classification and Segmentation

image-classification-transfer-learning-with-inception-v3

Transfer learning example based on Inception-v3 image recognition neural network.

imagesegmetrics

Microscopic Image Segementation Metrics

ldam-drw

[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

lstm

基于LSTM的时间序列预测研究

mmselfsup

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

paddleseg

End-to-end image segmentation kit based on PaddlePaddle.

pytorch-deeplab-xception

DeepLab v3+ model in PyTorch. Support different backbones.

pytorch-unet-master

unet

self-label

Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)

simple-cnaps

Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022) and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (TPAMI 2022 - in submission)

spcl

[NeurIPS-2020] Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID.

spice

unet-pytorch

这是一个unet-pytorch的源码，可以训练自己的模型

unsupervised-classification

SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]