(NeurIPS 2022) Self-Supervised Visual Representation Learning with Semantic Grouping
-
Updated
Mar 29, 2023 - Python
#
object-discovery
Here are 15 public repositories matching this topic...
AttentionMask: Attentive, Efficient Object Proposal Generation Focusing on Small Objects (ACCV 2018, accepted as oral)
-
Updated
Jul 6, 2023 - Jupyter Notebook
Code for the paper: Complex-Valued Autoencoders for Object Discovery
-
Updated
Feb 15, 2023 - Python
Superpixel-based Refinement for Object Proposal Generation (ICPR 2020)
-
Updated
Jan 19, 2022 - Jupyter Notebook
[WACV 2023] A Simple and Powerful Global Optimization for Unsupervised Video Object Segmentation
video-object-detection spectral-clustering object-discovery self-supervised-learning video-object-segmentation
-
Updated
Dec 2, 2022 - Python
Data and devtools for the "Large-Scale Object Discovery and Detector Adaptation from Unlabeled Video" paper.
-
Updated
Nov 2, 2018 - Python
[NeurIPS 2021] Official Matlab implementation of LOD: Large-Scale Unsupervised Object Discovery.
-
Updated
Jun 16, 2022 - C
Unsupervised Object Discovery and Segmentation with a Copy-Pasting GAN (CP-GAN) - PyTorch implementation (unofficial)
machine-learning computer-vision generative-adversarial-network gan unsupervised-learning object-segmentation object-discovery
-
Updated
May 19, 2020 - Python
An implementation of several unsupervised object discovery models (Slot Attention, SLATE, GNM) in PyTorch with pre-trained models.
-
Updated
Apr 13, 2023 - Python
[CVPR 2019] Official Matlab implementation of OSD: Unsupervised image matching and object discovery as optimization.
-
Updated
Nov 4, 2021 - HTML
[ECCV 2020] Official Matlab implementation of rOSD: Toward unsupervised, multi-object discovery in large-scale image collections.
-
Updated
Nov 4, 2021 - C
AttentionBox: Efficient Object Proposal Generation based on AttentionMask
-
Updated
Dec 4, 2019 - Jupyter Notebook
[BMVC 2023] Official repository for LOCATE: Self-supervised Object Discovery via Flow-guided Graph-cut and Bootstrapped Self-training
-
Updated
Feb 11, 2024 - 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.
computer-vision localization mapping space computer-graphics inspection object-detection scene-recognition 3d-reconstruction artemis international-space-station change-detection scene-understanding object-discovery astrobee robotic-vision microgravity robotic-caretaking robotic-inspection robotic-maintenance
-
Updated
Oct 7, 2024 - Python
[IJCNN 2024] Masked Multi-Query Slot Attention for Unsupervised Object Discovery, 2024 International Joint Conference on Neural Networks
-
Updated
Oct 24, 2024 - Python
Improve this page
Add a description, image, and links to the object-discovery topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the object-discovery topic, visit your repo's landing page and select "manage topics."