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Object Discovery

Object Discovery is the task of identifying previously unseen objects.

Source: Unsupervised Object Discovery and Segmentation of RGBD-images

Papers

Showing 101125 of 210 papers

TitleStatusHype
Foreground Guidance and Multi-Layer Feature Fusion for Unsupervised Object Discovery with TransformersCode0
MOVE: Unsupervised Movable Object Segmentation and DetectionCode1
Object-Category Aware Reinforcement Learning0
4D Unsupervised Object DiscoveryCode1
Differentiable Mathematical Programming for Object-Centric Representation Learning0
K-means for unsupervised instance segmentation using a self-supervised transformer0
Motion-inductive Self-supervised Object Discovery in Videos0
Sample, Crop, Track: Self-Supervised Mobile 3D Object Detection for Urban Driving LiDAR0
TokenCut: Segmenting Objects in Images and Videos with Self-supervised Transformer and Normalized Cut0
Objects Can Move: 3D Change Detection by Geometric Transformation ConstistencyCode0
Object Discovery via Contrastive Learning for Weakly Supervised Object DetectionCode1
Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions0
Unsupervised Semantic Segmentation with Self-supervised Object-centric RepresentationsCode1
SCIM: Simultaneous Clustering, Inference, and Mapping for Open-World Semantic Scene UnderstandingCode0
TUSK: Task-Agnostic Unsupervised Keypoints0
Self-Supervised Visual Representation Learning with Semantic GroupingCode1
Complex-Valued Autoencoders for Object DiscoveryCode1
Test-time Adaptation with Slot-Centric ModelsCode1
Unsupervised Domain Adaptation for Nighttime Aerial TrackingCode1
Discovering Objects that Can MoveCode1
Object discovery and representation networksCode0
Towards Self-Supervised Learning of Global and Object-Centric RepresentationsCode0
What Matters For Meta-Learning Vision Regression Tasks?Code1
Self-Supervised Transformers for Unsupervised Object Discovery using Normalized CutCode2
Monocular Arbitrary Moving Object Discovery and SegmentationCode1
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