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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
xMOD: Cross-Modal Distillation for 2D/3D Multi-Object Discovery from 2D motionCode0
OV-SCAN: Semantically Consistent Alignment for Novel Object Discovery in Open-Vocabulary 3D Object Detection—0
Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation—0
Slot-BERT: Self-supervised Object Discovery in Surgical Video—0
Leveraging Registers in Vision Transformers for Robust Adaptation—0
GLASS: Guided Latent Slot Diffusion for Object-Centric Learning—0
Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning—0
Cross-Modal Distillation for 2D/3D Multi-Object Discovery from 2D Motion—0
Temporally Consistent Object-Centric Learning by Contrasting Slots—0
Efficient Object-centric Representation Learning with Pre-trained Geometric Prior—0
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