SOTAVerified

Object Categorization

Object categorization identifies which label, from a given set, best corresponds to an image region defined by an input image and bounding box.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 76–80 of 80 papers

TitleStatusHype
Semi-supervised Node Splitting for Random Forest Construction—0
From N to N+1: Multiclass Transfer Incremental Learning—0
A Divide-and-Conquer Method for Scalable Low-Rank Latent Matrix Pursuit—0
Heterogeneous Visual Features Fusion via Sparse Multimodal Machine—0
On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Unified-IOXLCategorization (ablation)61.7—Unverified
2GPV-2Categorization (ablation)54.7—Unverified
3CLIPCategorization (ablation)48.1—Unverified
4OFA_LargeCategorization (ablation)22.6—Unverified