A collection of loss functions for medical image segmentation

Benchmarks for Semantic Segmentation.

Panoptic Segmentation Resources List

Deep networks for Earth Observation

常用的语义分割架构结构综述以及代码复现

🎨 Semantic segmentation models, datasets and losses implemented in PyTorch.

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

《利用Python进行数据分析·第2版》

Implementation of Pyramid Attention Networks for Semantic Segmentation.

PyTorch implementation of ENet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

TernausNetV2: Fully Convolutional Network for Instance Segmentation

Tools and Dataloader for ISPRS Potsdam and Vaihingen dataset

Framework for creating (partially) reversible neural networks with PyTorch

Matplotlib tutorial for beginner

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

Code used for training Faster R-CNN on DOTA

Retinanet impelemented by Pytorch : 69.0 mAP on VOC2007 test.

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

an oriented bounding boxes implement of YOLOv3

A script to put bounding boxes and labels on images from the DOTA dataset for deep learning.

crop a series of 1024 × 1024 patches from the original images with a stride set to 512

OpenMMLab Detection Toolbox and Benchmark

A PyTorch Implementation of Single Shot MultiBox Detector

The official implementation of paper "DIANet:Dense-and-Implicit-Attention-Network".

An open dataset for object detection in remote sensing images

Keras implementation of Attention Augmented Convolutional Neural Networks