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 71–80 of 80 papers

TitleStatusHype
Deep Fisher Kernels - End to End Learning of the Fisher Kernel GMM Parameters—0
Collaborative Receptive Field LearningCode0
Learning Mid-Level Features and Modeling Neuron Selectivity for Image Classification—0
Controlled Sparsity Kernel Learning—0
Attribute-Based Classification for Zero-Shot Visual Object Categorization—0
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