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
Cost-Effective Active Learning for Deep Image ClassificationCode0
Similarities and differences between stimulus tuning in the inferotemporal visual cortex and convolutional networks—0
Effective Deterministic Initialization for k-Means-Like Methods via Local Density Peaks Searching—0
A deep representation for depth images from synthetic data—0
Deep Learning Human Mind for Automated Visual ClassificationCode0
Systematic evaluation of CNN advances on the ImageNetCode0
A New Manifold Distance Measure for Visual Object Categorization—0
Semi-supervised Vocabulary-informed Learning—0
Contextual object categorization with energy-based model—0
Can Boosting with SVM as Week Learners Help?—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