instance-segmentation

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

A simple, fully convolutional model for real-time instance segmentation.

A Simple and Versatile Framework for Object Detection and Instance Recognition

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/

SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.

PANet for Instance Segmentation and Object Detection

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.

Inference Code for Polygon-RNN++ (CVPR 2018)

CenterMask : Real-Time Anchor-Free Instance Segmentation, in CVPR 2020

PyTorch training/tool code for Polygon-RNN++ (CVPR 2018)

CenterMask : Real-time Anchor-Free Instance Segmentation, in CVPR 2020

Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

UPSNet: A Unified Panoptic Segmentation Network

mmdetection源码注释

[CVPR2021 Oral] End-to-End Video Instance Segmentation with Transformers

🔥🔥Official Repository for Multi-Human-Parsing (MHP)🔥🔥

Detectorch - detectron for PyTorch

The First Place Solution of Kaggle iMaterialist (Fashion) 2019 at FGVC6

A General Toolbox for Identifying Object Detection Errors

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

A lightweight vision library for performing large scale object detection/ instance segmentation.

Copy-paste augmentation for segmentation and detection tasks