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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 61–70 of 210 papers

TitleStatusHype
Three Pillars improving Vision Foundation Model Distillation for LidarCode1
CoDet: Co-Occurrence Guided Region-Word Alignment for Open-Vocabulary Object DetectionCode1
SlotGNN: Unsupervised Discovery of Multi-Object Representations and Visual Dynamics—0
Sub-token ViT Embedding via Stochastic Resonance TransformersCode0
CoDA: Collaborative Novel Box Discovery and Cross-modal Alignment for Open-vocabulary 3D Object DetectionCode2
Vision Transformers Need RegistersCode6
Out of Sight, Still in Mind: Reasoning and Planning about Unobserved Objects with Video Tracking Enabled Memory Models—0
Towards Robust Robot 3D Perception in Urban Environments: The UT Campus Object DatasetCode1
MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic SegmentationCode0
PROGrasp: Pragmatic Human-Robot Communication for Object GraspingCode1
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