Panoptic Segmentation Resources List
PaddleSeg是基于飞桨PaddlePaddle开发的端到端图像分割开发套件,涵盖了高精度和轻量级等不同方向的大量高质量分割模型。通过模块化的设计,提供了配置化驱动和API调用两种应用方式,帮助开发者更便捷地完成从训练到部署的全流程图像分割应用。
UPSNet: A Unified Panoptic Segmentation Network
翻译 - UPSNet:统一的全景分割网络
COCO 2018 Panoptic Segmentation Task API (Beta version)
Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation and video segmentation
翻译 - 有关语义分割,实例分割,全景分割和视频分割的论文和基准
PyTorch code for training EfficientPS for Panoptic Segmentation
Fully Convolutional Networks for Panoptic Segmentation (CVPR2021 Oral)
4D Panoptic Lidar Segmentation
Weakly- and Semi-Supervised Panoptic Segmentation (ECCV18)
Res2Net for Panoptic Segmentation based on detectron2 (SOTA results).
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)
PyTorch implementation of U-TAE and PaPs for satellite image time series panoptic segmentation.
Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]
[CVPR23] Implementation for Panoptic Lifting
Benchmarking Panoptic Scene Graph Generation (PSG), ECCV'22