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 26–50 of 80 papers

TitleStatusHype
Effective Deterministic Initialization for k-Means-Like Methods via Local Density Peaks Searching—0
Emergence of Selective Invariance in Hierarchical Feed Forward Networks—0
Enhanced Biologically Inspired Model for Image Recognition Based on a Novel Patch Selection Method with Moment—0
Evolution in Groups: A deeper look at synaptic cluster driven evolution of deep neural networks—0
Finding Optimal Combination of Kernels using Genetic Programming—0
From N to N+1: Multiclass Transfer Incremental Learning—0
Grassmannian Discriminant Maps (GDM) for Manifold Dimensionality Reduction with Application to Image Set Classification—0
Heterogeneous Visual Features Fusion via Sparse Multimodal Machine—0
Humans can decipher adversarial images—0
Learning Mid-Level Features and Modeling Neuron Selectivity for Image Classification—0
Local-HDP: Interactive Open-Ended 3D Object Categorization in Real-Time Robotic Scenarios—0
PCA-RECT: An Energy-efficient Object Detection Approach for Event Cameras—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
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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