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 71–80 of 80 papers

TitleStatusHype
Open-Ended Fine-Grained 3D Object Categorization by Combining Shape and Texture Features in Multiple Colorspaces—0
Comparing Apples to Oranges: LLM-powered Multimodal Intention Prediction in an Object Categorization Task—0
Contextual object categorization with energy-based model—0
Controlled Sparsity Kernel Learning—0
Convolutional Models for Joint Object Categorization and Pose Estimation—0
Convolutional Networks for Object Category and 3D Pose Estimation from 2D Images—0
Cross-label Suppression: A Discriminative and Fast Dictionary Learning with Group Regularization—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
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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