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antnlp-ttwp

A Template for Thesis Writing Projects (ECNU)

awesome-zero-shot-learning

A paper collection of brand-new ZSL methods, according to different algorithm.

bf3s

Boosting Few-Shot Visual Learning with Self-Supervision

cardiac-segmentation

Right Ventricle Cardiac MRI Segmentation

centerx

This repo is implemented based on detectron2 and centernet

chr

SIXray : A Large-scale Security Inspection X-ray Benchmark in CVPR 2019

contrastive-predictive-coding-pytorch

Contrastive Predictive Coding for Automatic Speaker Verification

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

deepemd

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

deepinfomaxpytorch

Learning deep representations by mutual information estimation and maximization

detection-pytorch-notebook

代码 -《深度学习之PyTorch物体检测实战》

detr

End-to-End Object Detection with Transformers

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

doubledip

Official implementation of the paper "Double-DIP: Unsupervised Image Decomposition via Coupled Deep-Image-Priors"

ecnu-dissertations-latex-template

华东师范大学硕（博）士论文LaTex模板

efficient-segmentation-networks

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

few-shot-classification-leaderboard

Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.

few-shot-object-detection

Implementations of few-shot object detection benchmarks

few-shot-object-detection-dataset

few-shot-semantic-segmentation-papers

Few Shot Semantic Segmentation Papers

fewshot_detection

Few-shot Object Detection via Feature Reweighting

fewshot_gan-unet3d

Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

focal-loss-pytorch

全中文注释.(The loss function of retinanet based on pytorch).(You can use it on one-stage detection task or classifical task, to solve data imbalance influence).用于one-stage目标检测算法,提升检测效果.你也可以在分类任务中使用该损失函数,解决数据不平衡问题.

focal-tversky-unet

This repo contains the code for our paper "A novel focal Tversky loss function and improved Attention U-Net for lesion segmentation" accepted at IEEE ISBI 2019.

fss-1000

FSS-1000, A 1000-class Dataset For Few-shot Segmentation

funit

Translate images to unseen domains in the test time with few example images.

inc-few-shot-attractor-public

Code for Paper "Incremental Few-Shot Learning with Attention Attractor Networks"

journal-information

The information of computer journal