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 51–60 of 80 papers

TitleStatusHype
VISER: Visual Self-Regularization—0
Visualizing Representational Dynamics with Multidimensional Scaling Alignment—0
Visual Object Categorization Based on Hierarchical Shape Motifs Learned From Noisy Point Cloud Decompositions—0
Weakly-Supervised Spatial Context Networks—0
Webly Supervised Concept Expansion for General Purpose Vision Models—0
Look Further to Recognize Better: Learning Shared Topics and Category-Specific Dictionaries for Open-Ended 3D Object Recognition—0
A deep representation for depth images from synthetic data—0
A Divide-and-Conquer Method for Scalable Low-Rank Latent Matrix Pursuit—0
Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception—0
A Hierarchical Approach for Joint Multi-view Object Pose Estimation and Categorization—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