OpenMMLab Detection Toolbox and Benchmark

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

[CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"

Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]

Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)

Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering"

UPSNet: A Unified Panoptic Segmentation Network

[CVPR 2022] SparseInst: Sparse Instance Activation for Real-Time Instance Segmentation

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)

[NeurIPS2021] Code Release of K-Net: Towards Unified Image Segmentation

[CVPR 2020] VoVNet backbone networks for detectron2

[CVPR 2022 Oral] SoftGroup for Instance Segmentation on 3D Point Clouds

[CVPR 2021/TPAMI 2023] Rank 1st in the public leaderboard of SemanticKITTI Panoptic Segmentation (2020-11-16)

[CVPR 2023] PVO: Panoptic Visual Odometry

This repository contains code and tools for reading, processing, evaluating on, and visualizing Panoptic Parts datasets. Moreover, it contains code for reproducing our CVPR 2021 paper results.

[IEEE TPAMI-2024] Pair then Relation: Pair-Net for Panoptic Scene Graph Generation

Encoder-Decoder Cell and Nuclei segmentation models

A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask Inpainting [ECCV 2024]

[IJCV 2024] P3Former: Position-Guided Point Cloud Panoptic Segmentation Transformer

PKU_360 Team's fuse code! This code is used to fuse the semantic segmentation result and instance segmentation result. We won the third place in COCO2018 panoptic segmentation.