SOTAVerified

Object Discovery

Object Discovery is the task of identifying previously unseen objects.

Source: Unsupervised Object Discovery and Segmentation of RGBD-images

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 71–80 of 210 papers

TitleStatusHype
Large-Scale Object Mining for Object Discovery from Unlabeled Video—0
Efficient Object-centric Representation Learning with Pre-trained Geometric Prior—0
Divided Attention: Unsupervised Multi-Object Discovery with Contextually Separated Slots—0
Agile Depth Sensing Using Triangulation Light Curtains—0
Enforcing View-Consistency in Class-Agnostic 3D Segmentation Fields—0
AutoRecon: Automated 3D Object Discovery and Reconstruction—0
DiffusionSeg: Adapting Diffusion Towards Unsupervised Object Discovery—0
Coarse Is Better? A New Pipeline Towards Self-Supervised Learning with Uncurated Images—0
Differentiable Mathematical Programming for Object-Centric Representation Learning—0
Iterative Spectral Clustering for Unsupervised Object Localization—0
Show:102550
← PrevPage 8 of 21Next →

No leaderboard results yet.