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 41–50 of 80 papers

TitleStatusHype
Towards Reliable Assessments of Demographic Disparities in Multi-Label Image Classifiers—0
Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks—0
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
PCA-RECT: An Energy-efficient Object Detection Approach for Event Cameras—0
Deep Fisher Kernels - End to End Learning of the Fisher Kernel GMM Parameters—0
Divide and Conquer: Improving Multi-Camera 3D Perception with 2D Semantic-Depth Priors and Input-Dependent Queries—0
Dual Skipping Networks—0
Show:102550
← PrevPage 5 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