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few-shot

Repository for few-shot learning machine learning projects

AdarGCN

booksource

《第一行代码 第2版》全书源代码

cocoapi

COCO API - Dataset @ http://cocodataset.org/

CrossDomainFewShot

Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)

DeepEmbeddingModel_ZSL

Tensorflow code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning

DeepEMD

Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020

fewshot-egnn

GoodWeather

Good Weather Android application

LearningToCompare_FSL

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

PaddleDetection

Object detection and instance segmentation toolkit based on PaddlePaddle.

payment

Payment是php版本的支付聚合第三方sdk，集成了微信支付、支付宝支付、招商一网通支付。提供统一的调用接口，方便快速接入各种支付、查询、退款、转账能力。服务端接入支付功能，方便、快捷。

pytorch-grad-cam

PyTorch implementation of Grad-CAM

SalNet-cvpr19-master

Pytorch Implementation of CVPR19 "Few-shot Learning via Saliency-guided Hallucination of Samples"

SoSN-wacv19-master

Implementation of WACV2019 paper "Power Normalizing Second-order Similarity Network for Few-shot Learning"

TADAM

The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning

AECR-Net

Contrastive Learning for Compact Single Image Dehazing, CVPR2021

BBN

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

CCL

Code on Paper [CVPR2021]Distilling Audio-Visual Knowledge by Compositional Contrastive Learning

class-balanced-loss

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

DMRA_RGBD-SOD

Code and Dataset for ICCV 2019 paper. "Depth-induced Multi-scale Recurrent Attention Network for Saliency Detection".

Graph-U-Nets

Pytorch implementation of Graph U-Nets (ICML19)

mini-imagenet-tools

Tools for generating mini-ImageNet dataset and processing batches

n2d

A deep clustering algorithm. Code to reproduce results for the paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding.

SDCN

Structural Deep Clustering Network

simple-cnaps

SSDA_MME

Semi-supervised Domain Adaptation via Minimax Entropy

tiered-imagenet-tools

Tools for generating tieredImageNet dataset and processing batches

tpu

Reference models and tools for Cloud TPUs.

TubeTK

Official implementation of paper: TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model (CVPR 2020 oral)