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#

object-discovery

Here are 15 public repositories matching this topic...

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

  • UpdatedMar 10, 2025
  • Python

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

  • UpdatedJul 6, 2023
  • Jupyter Notebook

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

  • UpdatedFeb 15, 2023
  • Python

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

  • UpdatedJan 19, 2022
  • Jupyter Notebook

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

  • UpdatedDec 2, 2022
  • Python

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

  • UpdatedNov 2, 2018
  • Python
LOD

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

  • UpdatedJun 16, 2022
  • C

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

  • UpdatedMay 19, 2020
  • Python

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

  • UpdatedApr 13, 2023
  • Python

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

  • UpdatedNov 4, 2021
  • HTML

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

  • UpdatedNov 4, 2021
  • C

AttentionBox: Efficient Object Proposal Generation based on AttentionMask

  • UpdatedDec 4, 2019
  • Jupyter Notebook

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

  • UpdatedFeb 11, 2024
  • Python

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

  • UpdatedMar 3, 2025
  • Python

[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.

  • UpdatedJan 29, 2025
  • Python

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