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 121–130 of 210 papers

TitleStatusHype
Image Segmentation-based Unsupervised Multiple Objects Discovery—0
Improving Unsupervised Video Object Segmentation with Motion-Appearance Synergy—0
Boosting Object Representation Learning via Motion and Object ContinuityCode0
Foreground Guidance and Multi-Layer Feature Fusion for Unsupervised Object Discovery with TransformersCode0
Object-Category Aware Reinforcement Learning—0
Differentiable Mathematical Programming for Object-Centric Representation Learning—0
K-means for unsupervised instance segmentation using a self-supervised transformer—0
Motion-inductive Self-supervised Object Discovery in Videos—0
Sample, Crop, Track: Self-Supervised Mobile 3D Object Detection for Urban Driving LiDAR—0
TokenCut: Segmenting Objects in Images and Videos with Self-supervised Transformer and Normalized Cut—0
Show:102550
← PrevPage 13 of 21Next →

No leaderboard results yet.