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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 101–125 of 210 papers

TitleStatusHype
Unsupervised Discovery of Object-Centric Neural Fields—0
Unsupervised Joint Object Discovery and Segmentation in Internet Images—0
Unsupervised learning from video to detect foreground objects in single images—0
Unsupervised learning of foreground object detection—0
Unsupervised Object Discovery: A Comprehensive Survey and Unified Taxonomy—0
Unsupervised Object Discovery and Segmentation of RGBD-images—0
Unsupervised Object Discovery and Localization in the Wild: Part-based Matching with Bottom-up Region Proposals—0
Unsupervised Object Discovery and Co-Localization by Deep Descriptor Transforming—0
Unsupervised Object Discovery and Tracking in Video Collections—0
Unsupervised object discovery for instance recognition—0
Weakly Supervised Object Discovery by Generative Adversarial & Ranking Networks—0
XS-VID: An Extremely Small Video Object Detection Dataset—0
3D Object Discovery and Modeling Using Single RGB-D Images Containing Multiple Object Instances—0
Zero-Shot Object-Centric Representation Learning—0
Active Image Segmentation Propagation—0
Agile Depth Sensing Using Triangulation Light Curtains—0
Appearance Fusion of Multiple Cues for Video Co-localization—0
Attention-Guided Masked Autoencoders For Learning Image Representations—0
AutoRecon: Automated 3D Object Discovery and Reconstruction—0
Betrayed by Motion: Camouflaged Object Discovery via Motion Segmentation—0
Bootstrapping Top-down Information for Self-modulating Slot Attention—0
Brain-inspired automated visual object discovery and detection—0
Coarse Is Better? A New Pipeline Towards Self-Supervised Learning with Uncurated Images—0
Co-localization in Real-World Images—0
Co-localization with Category-Consistent Features and Geodesic Distance Propagation—0
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