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 21–30 of 80 papers

TitleStatusHype
Contextual object categorization with energy-based model—0
Controlled Sparsity Kernel Learning—0
Convolutional Models for Joint Object Categorization and Pose Estimation—0
Convolutional Networks for Object Category and 3D Pose Estimation from 2D Images—0
Best sources forward: domain generalization through source-specific nets—0
Cross-label Suppression: A Discriminative and Fast Dictionary Learning with Group Regularization—0
Bio-inspired Unsupervised Learning of Visual Features Leads to Robust Invariant Object Recognition—0
Deep Fisher Kernels - End to End Learning of the Fisher Kernel GMM Parameters—0
A New Manifold Distance Measure for Visual Object Categorization—0
Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception—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