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
Cost-Effective Active Learning for Deep Image ClassificationCode0
Similarities and differences between stimulus tuning in the inferotemporal visual cortex and convolutional networks—0
Effective Deterministic Initialization for k-Means-Like Methods via Local Density Peaks Searching—0
A deep representation for depth images from synthetic data—0
Deep Learning Human Mind for Automated Visual ClassificationCode0
Systematic evaluation of CNN advances on the ImageNetCode0
A New Manifold Distance Measure for Visual Object Categorization—0
Semi-supervised Vocabulary-informed Learning—0
Contextual object categorization with energy-based model—0
Can Boosting with SVM as Week Learners Help?—0
Thesis: Multiple Kernel Learning for Object Categorization—0
Finding Optimal Combination of Kernels using Genetic Programming—0
RotationNet: Joint Object Categorization and Pose Estimation Using Multiviews from Unsupervised ViewpointsCode0
Convolutional Models for Joint Object Categorization and Pose Estimation—0
Basic Level Categorization Facilitates Visual Object Recognition—0
Classifier Adaptation at Prediction Time—0
Bio-inspired Unsupervised Learning of Visual Features Leads to Robust Invariant Object Recognition—0
Towards Learning free Naive Bayes Nearest Neighbor-based Domain Adaptation—0
A Hierarchical Approach for Joint Multi-view Object Pose Estimation and Categorization—0
A Unified Semantic Embedding: Relating Taxonomies and Attributes—0
Deep Fisher Kernels - End to End Learning of the Fisher Kernel GMM Parameters—0
Collaborative Receptive Field LearningCode0
Learning Mid-Level Features and Modeling Neuron Selectivity for Image Classification—0
Controlled Sparsity Kernel Learning—0
Attribute-Based Classification for Zero-Shot Visual Object Categorization—0
Semi-supervised Node Splitting for Random Forest Construction—0
A Divide-and-Conquer Method for Scalable Low-Rank Latent Matrix Pursuit—0
From N to N+1: Multiclass Transfer Incremental Learning—0
Heterogeneous Visual Features Fusion via Sparse Multimodal Machine—0
On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation—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