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

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Showing 11–20 of 80 papers

TitleStatusHype
Basic Level Categorization Facilitates Visual Object Recognition—0
Best sources forward: domain generalization through source-specific nets—0
Bio-inspired Unsupervised Learning of Visual Features Leads to Robust Invariant Object Recognition—0
A New Manifold Distance Measure for Visual Object Categorization—0
A Hierarchical Approach for Joint Multi-view Object Pose Estimation and Categorization—0
A Simple Riemannian Manifold Network for Image Set Classification—0
Classifier Adaptation at Prediction Time—0
PCA-RECT: An Energy-efficient Object Detection Approach for Event Cameras—0
Open-Ended Fine-Grained 3D Object Categorization by Combining Shape and Texture Features in Multiple Colorspaces—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