(NeurIPS 2022) Self-Supervised Visual Representation Learning with Semantic Grouping

AttentionMask: Attentive, Efficient Object Proposal Generation Focusing on Small Objects (ACCV 2018, accepted as oral)

Code for the paper: Complex-Valued Autoencoders for Object Discovery

Superpixel-based Refinement for Object Proposal Generation (ICPR 2020)

[WACV 2023] A Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation

Data and devtools for the "Large-Scale Object Discovery and Detector Adaptation from Unlabeled Video" paper.

[NeurIPS 2021] Official Matlab implementation of LOD: Large-Scale Unsupervised Object Discovery.

Unsupervised Object Discovery and Segmentation with a Copy-Pasting GAN (CP-GAN) - PyTorch implementation (unofficial)

[CVPR 2019] Official Matlab implementation of OSD: Unsupervised image matching and object discovery as optimization.

An implementation of several unsupervised object discovery models (Slot Attention, SLATE, GNM) in PyTorch with pre-trained models.

[ECCV 2020] Official Matlab implementation of rOSD: Toward unsupervised, multi-object discovery in large-scale image collections.

AttentionBox: Efficient Object Proposal Generation based on AttentionMask

[BMVC 2023] Official repository for LOCATE: Self-supervised Object Discovery via Flow-guided Graph-cut and Bootstrapped Self-training

[IAC 2023, AA 2024] This repository contains the code used in our paper, "AstrobeeCD: Change Detection in Microgravity with Free-Flying Robots." This method is useful for detecting 3D scene changes given a 3D model, a sequence of images, and a sequence of camera poses.

[IJCNN 2024] Masked Multi-Query Slot Attention for Unsupervised Object Discovery, 2024 International Joint Conference on Neural Networks