baoshishui

DFF

Code for Dynamic Feature Fusion for Semantic Edge Detection https://arxiv.org/abs/1902.09104

PixelAnnotationTool

Annotate quickly images.

DFF-pytorch

A Pytorch implementation of Dynamic Feature Fusion for Semantic Edge detection(IJCAI 2019,unoffical)

DexiNed

DexiNed: Dense EXtreme Inception Network for Edge Detection

mmdetection

OpenMMLab Detection Toolbox and Benchmark

ccnn

Code repository of the paper "Towards a General Purpose CNN for Long Range Dependencies in N-D" https://arxiv.org/abs/2206.03398.

EDTER

EDTER: Edge Detection with Transformer, in CVPR 2022

models

Models and examples built with TensorFlow

FPGA-Edge-Detection-Project1

FPGA-Edge-Detection-Project1

DDS

Semantic Edge Detection with Diverse Deep Supervision

pidinet

Code for the ICCV 2021 paper "Pixel Difference Networks for Efficient Edge Detection" (Oral).

RINDNet

RINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and Depth, in ICCV 2021 (oral)

FCL-Net

This is the pytorch implementation of FCL-Net.

detr

End-to-End Object Detection with Transformers

MT-ORL

PyTorch implementation of paper "MT-ORL: Multi-Task Occlusion Relationship Learning" (ICCV 2021)

yolo2-pytorch

YOLOv2 in PyTorch

yolov2-yolov3_PyTorch

faster-rcnn-pytorch

这是一个faster-rcnn的pytorch实现的库，可以利用voc数据集格式的数据进行训练。

transformer

Implementation of "Attention Is All You Need" using pytorch

LiteSeg

Pytorch implementation for LiteSeg

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

PMMs

Prototype Mixture Models for Few-shot Semantic Segmentation

MTL-Segmentation

Meta Transfer Learning for Few Shot Semantic Segmentation using U-Net

DOOBNet

Caffe implementation of DOOBNet https://arxiv.org/abs/1806.03772

yolov5

YOLOv5 in PyTorch > ONNX > CoreML > TFLite

FSS-1000

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

MetaSegNet

Differentiable Meta-learning Model for Few-shot Semantic Segmentation

Deep-Learning-with-TensorFlow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

TensorFlow-2.x-Tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

SSD-Pytorch

SSD目标检测算法(Single Shot MultiBox Detector)(简单,明了,易用,全中文注释,单机多卡训练,视频检测)( If you train the model on a single computer and mutil GPU, this program will be your best choice , easier to use and easier to understand )