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 1–50 of 80 papers

TitleStatusHype
Learning Transferable Visual Models From Natural Language SupervisionCode2
Roboflow 100: A Rich, Multi-Domain Object Detection BenchmarkCode2
Learning Physical Graph Representations from Visual ScenesCode1
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise LabellingCode1
GRIT: General Robust Image Task BenchmarkCode1
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
Webly Supervised Concept Expansion for General Purpose Vision Models—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
Local-HDP: Interactive Open-Ended 3D Object Categorization in Real-Time Robotic Scenarios—0
Look Further to Recognize Better: Learning Shared Topics and Category-Specific Dictionaries for Open-Ended 3D Object Recognition—0
Multiple Manifolds Metric Learning with Application to Image Set Classification—0
Multiple Riemannian Manifold-valued Descriptors based Image Set Classification with Multi-Kernel Metric Learning—0
Object categorization in finer levels requires higher spatial frequencies, and therefore takes longer—0
On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation—0
Semi-supervised Node Splitting for Random Forest Construction—0
Semi-supervised Vocabulary-informed Learning—0
Similarities and differences between stimulus tuning in the inferotemporal visual cortex and convolutional networks—0
SimiNet: a Novel Method for Quantifying Brain Network Similarity—0
Sparse, Collaborative, or Nonnegative Representation: Which Helps Pattern Classification?—0
Thesis: Multiple Kernel Learning for Object Categorization—0
Towards Learning free Naive Bayes Nearest Neighbor-based Domain Adaptation—0
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
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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