YoungSean

UnseenObjectsWithMeanShift

Unseen Object Instance Segmentation with MSMFormer. (ICRA 2024 and RSS 2023)

NIDS-Net

NIDS-Net: A unified framework for novel instance detection and segmentation

NIDS-Net-BOP

NIDS-Net's Specific Implementation for BOP Unseen Object Segmentation. Have merged into the main NIDS-Net repo.

devit

Grounded-Segment-Anything

Grounded-SAM: Marrying Grounding-DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

LoFTR_Object

Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022

Mask2Former

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

segment-anything-for-unseen-object

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

UnseenObjectClusteringYXL

Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation

XMem

[ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

YoungSean.Github.io

Personal website.