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
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
Thesis: Multiple Kernel Learning for Object 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