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 51–80 of 80 papers

TitleStatusHype
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
Webly Supervised Concept Expansion for General Purpose Vision Models—0
Look Further to Recognize Better: Learning Shared Topics and Category-Specific Dictionaries for Open-Ended 3D Object Recognition—0
A deep representation for depth images from synthetic data—0
A Divide-and-Conquer Method for Scalable Low-Rank Latent Matrix Pursuit—0
Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception—0
A Hierarchical Approach for Joint Multi-view Object Pose Estimation and Categorization—0
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
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