object-discovery

There are 14 repositories under object-discovery topic.

  • CVMI-Lab/SlotCon

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

    Language:Python893109

  • chwilms/AttentionMask

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

    Language:Jupyter Notebook507616

  • loeweX/ComplexAutoEncoder

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

    Language:Python45208

  • chwilms/superpixelRefinement

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

    Language:Jupyter Notebook27304

  • ponimatkin/ssl-vos

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

    Language:Python23324

  • aljosaosep/kitti-track-collection

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

    Language:Python22604
  • LOD

    huyvvo/LOD

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

    Language:C20412

  • basilevh/object-discovery-cp-gan

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

    Language:Python15202

  • huyvvo/OSD

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

    Language:HTML13100

  • HHousen/object-discovery-pytorch

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

    Language:Python12202

  • huyvvo/rOSD

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

    Language:C10112

  • harm-matthias-harms/AttentionBox

    AttentionBox: Efficient Object Proposal Generation based on AttentionMask

    Language:Jupyter Notebook6202

  • silky1708/LOCATE

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

    Language:Python220

  • hollydinkel/astrobeecd

    [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.

    Language:Python10