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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

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Showing 76–100 of 210 papers

TitleStatusHype
Multi-Label Self-Supervised Learning with Scene Images—0
Grounded Object Centric Learning—0
Multi-Object Discovery by Low-Dimensional Object Motion—0
FODVid: Flow-guided Object Discovery in Videos—0
Weakly-supervised Contrastive Learning for Unsupervised Object DiscoveryCode0
OCAtari: Object-Centric Atari 2600 Reinforcement Learning EnvironmentsCode1
Object-Centric Learning for Real-World Videos by Predicting Temporal Feature SimilaritiesCode1
Coarse Is Better? A New Pipeline Towards Self-Supervised Learning with Uncurated Images—0
Cycle Consistency Driven Object Discovery—0
Contrastive Training of Complex-Valued Autoencoders for Object DiscoveryCode0
SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models—0
AutoRecon: Automated 3D Object Discovery and Reconstruction—0
Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual GroupingCode1
MOST: Multiple Object localization with Self-supervised Transformers for object discovery—0
Divided Attention: Unsupervised Multi-Object Discovery with Contextually Separated Slots—0
Object Discovery from Motion-Guided TokensCode1
DiffusionSeg: Adapting Diffusion Towards Unsupervised Object Discovery—0
Universal Instance Perception as Object Discovery and RetrievalCode3
Invariant Slot Attention: Object Discovery with Slot-Centric Reference FramesCode1
Adversarial Normalization: I Can Visualize Everything (ICE)Code0
Image Segmentation-based Unsupervised Multiple Objects Discovery—0
Improving Unsupervised Video Object Segmentation with Motion-Appearance Synergy—0
Unsupervised Object Localization: Observing the Background to Discover ObjectsCode1
Boosting Object Representation Learning via Motion and Object ContinuityCode0
Discovering A Variety of Objects in Spatio-Temporal Human-Object InteractionsCode1
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