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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 126150 of 210 papers

TitleStatusHype
Learning Co-segmentation by Segment Swapping for Retrieval and DiscoveryCode1
Unsupervised Image Decomposition with Phase-Correlation NetworksCode0
Localizing Objects with Self-Supervised Transformers and no LabelsCode1
Learning to Track Objects from Unlabeled VideosCode1
Learning Open-World Object Proposals without Learning to ClassifyCode1
SCOD: Active Object Detection for Embodied Agents using Sensory Commutativity of Action Sequences0
Exploring Depth Contribution for Camouflaged Object Detection0
PatchNet: Unsupervised Object Discovery based on Patch Embedding0
Large-Scale Unsupervised Object DiscoveryCode1
Unsupervised Layered Image Decomposition into Object PrototypesCode1
Target-Aware Object Discovery and Association for Unsupervised Video Multi-Object Segmentation0
Track, Check, Repeat: An EM Approach to Unsupervised Tracking0
Knowledge-Guided Object Discovery with Acquired Deep ImpressionsCode0
Self-Supervision by Prediction for Object Discovery in Videos0
Inducing Meaningful Units from Character Sequences with Dynamic Capacity Slot Attention0
GO-Finder: A Registration-Free Wearable System for Assisting Users in Finding Lost Objects via Hand-Held Object Discovery0
Unsupervised Discovery of 3D Physical Objects0
Language-Mediated, Object-Centric Representation Learning0
Iterative Knowledge Exchange Between Deep Learning and Space-Time Spectral Clustering for Unsupervised Segmentation in Videos0
Chair Segments: A Compact Benchmark for the Study of Object SegmentationCode0
Betrayed by Motion: Camouflaged Object Discovery via Motion Segmentation0
Unsupervised Discovery of 3D Physical Objects from Video0
Reconstruction Bottlenecks in Object-Centric Generative ModelsCode1
Toward unsupervised, multi-object discovery in large-scale image collectionsCode1
Object-Centric Learning with Slot AttentionCode1
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