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 61–70 of 80 papers

TitleStatusHype
Aligning Artificial Neural Networks to the Brain yields Shallow Recurrent Architectures—0
A New Manifold Distance Measure for Visual Object Categorization—0
A Simple Riemannian Manifold Network for Image Set Classification—0
Attribute-Based Classification for Zero-Shot Visual Object Categorization—0
A Unified Semantic Embedding: Relating Taxonomies and Attributes—0
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
Can Boosting with SVM as Week Learners Help?—0
Classifier Adaptation at Prediction Time—0
Show:102550
← PrevPage 7 of 8Next →

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