DL-Alva

dino

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

Awesome-Zero-Shot-Learning

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

centerX

This repo is implemented based on detectron2 and centernet

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

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

ECNU-Dissertations-Latex-Template

华东师范大学硕（博）士论文LaTex模板

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-Semantic-Segmentation-Papers

Few Shot Semantic Segmentation Papers

FSS-1000

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

inc-few-shot-attractor-public

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

Journal-Information

The information of computer journal

learning-to-self-train

Learning to Self-Train for Semi-Supervised Few-Shot

mask-rcnn-keras

这是一个mask-rcnn的库，可以用于训练自己的实例分割模型。

MICCAI-OpenSourcePapers

MICCAI 2019 Open Source Papers

Mobilenet-SSD-Essay

这是Mobilenet-SSD的论文版，可用于训练与预测。

mobilenet-ssd-keras

这是一个mobilenet-ssd-keras的源码，可以用于训练自己的轻量级ssd模型。

nanodet

⚡Super fast and lightweight anchor-free object detection model. 🔥Only 1.8mb and run 97FPS on cellphone🔥

negative-margin.few-shot

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

OneNet

OneNet: End-to-End One-Stage Object Detection

PaddleViT

:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

PyTorchTricks

Some tricks of pytorch... :star:

u2net_torch

MICCAI2019:3D U$^2$-Net: A 3D Universal U-Net for Multi-Domain Medical Image Segmentation

Unsupervised-Classification

SCAN: Learning to Classify Images without Labels (ECCV 2020)

Visual-Transformer-for-Task-aware-Active-Learning

Yolo-to-COCO-format-converter

Yolo to COCO annotation format converter

YOLO-v5

:art: Pytorch YOLO v5 训练自己的数据集超详细教程！！！ :art: (提供PDF训练教程下载）

yolov5

YOLOv5 in PyTorch > ONNX > CoreML > TFLite