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
Roboflow 100: A Rich, Multi-Domain Object Detection BenchmarkCode2
Learning Transferable Visual Models From Natural Language SupervisionCode2
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise LabellingCode1
Learning Physical Graph Representations from Visual ScenesCode1
GRIT: General Robust Image Task BenchmarkCode1
IAUnet: Global Context-Aware Feature Learning for Person Re-IdentificationCode0
Learning Deep Visual Object Models From Noisy Web Data: How to Make it WorkCode0
Data augmentation instead of explicit regularizationCode0
Systematic evaluation of CNN advances on the ImageNetCode0
Part-Aware Fine-grained Object Categorization using Weakly Supervised Part Detection NetworkCode0
Improved object recognition using neural networks trained to mimic the brain's statistical propertiesCode0
Collaborative Receptive Field LearningCode0
OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning FrameworkCode0
Unsupervised Domain Adaptation through Inter-modal Rotation for RGB-D Object RecognitionCode0
Deep Learning Human Mind for Automated Visual ClassificationCode0
Vision CNNs trained to estimate spatial latents learned similar ventral-stream-aligned representationsCode0
Enhancing Fine-Grained 3D Object Recognition using Hybrid Multi-Modal Vision Transformer-CNN ModelsCode0
Are we done with object recognition? The iCub robot's perspectiveCode0
Vocabulary-informed Zero-shot and Open-set LearningCode0
Category-orthogonal object features guide information processing in recurrent neural networks trained for object categorizationCode0
Learning robust visual representations using data augmentation invarianceCode0
Recurrent Convolutional Fusion for RGB-D Object RecognitionCode0
RotationNet: Joint Object Categorization and Pose Estimation Using Multiviews from Unsupervised ViewpointsCode0
Cost-Effective Active Learning for Deep Image ClassificationCode0
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNsCode0
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
Show:102550
← PrevPage 1 of 2Next →

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