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awesome-panoptic-segmentation

Panoptic Segmentation Resources List

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

caffe-fcn

Run Long and Shelhamer's FCN image segmentation network using Caffe

cityscapesscripts

README and scripts for the Cityscapes Dataset

cocoapi

COCO API - Dataset @ http://cocodataset.org/

deeplab2

DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.

detectors-1

DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution

efficientps

PyTorch code for training EfficientPS for Panoptic Segmentation https://rl.uni-freiburg.de/research/panoptic

kitti-semantic-ground-truth

laszip

lsun-room

Indoor Scene Layout Estimation from a Single Image, ICPR 2018.

mmdetection

OpenMMLab Detection Toolbox and Benchmark

netwarp_public

Semantic Video CNNs through Representation Warping. ICCV 2017

nothing

nuscenes-devkit

The devkit of the nuScenes dataset.

openseg.pytorch

The Pytorch code of OCNet series and SegFix.

panoptic-deeplab

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)

panoptic-tracking

seamseg

Seamless Scene Segmentation

semantic-kitti-api

SemanticKITTI API for visualizing dataset, processing data, and evaluating results.

semantic_suma

Semantic Mapping using Surfel Mapping and Semantic Segmentation (Chen et al IROS 2019)

sse2neon

Automatically exported from code.google.com/p/sse2neon

tf-senet

SE_ResNet && SE_ResNeXt with pretrained weights on ImageNet (SENet In TensorFlow)

todo.md

TODO.md file format - todomd.org

vision

Datasets, Transforms and Models specific to Computer Vision

vps

Official pytorch implementation for "Video Panoptic Segmentation" (CVPR 2020 Oral)