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
Vision CNNs trained to estimate spatial latents learned similar ventral-stream-aligned representationsCode0
Divide and Conquer: Improving Multi-Camera 3D Perception with 2D Semantic-Depth Priors and Input-Dependent Queries—0
Comparing Apples to Oranges: LLM-powered Multimodal Intention Prediction in an Object Categorization Task—0
Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception—0
Towards Reliable Assessments of Demographic Disparities in Multi-Label Image Classifiers—0
Vocabulary-informed Zero-shot and Open-set LearningCode0
Roboflow 100: A Rich, Multi-Domain Object Detection BenchmarkCode2
Enhancing Fine-Grained 3D Object Recognition using Hybrid Multi-Modal Vision Transformer-CNN ModelsCode0
Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks—0
GRIT: General Robust Image Task BenchmarkCode1
OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning FrameworkCode0
Webly Supervised Concept Expansion for General Purpose Vision Models—0
Category-orthogonal object features guide information processing in recurrent neural networks trained for object categorizationCode0
Learning Transferable Visual Models From Natural Language SupervisionCode2
Open-Ended Fine-Grained 3D Object Categorization by Combining Shape and Texture Features in Multiple Colorspaces—0
IAUnet: Global Context-Aware Feature Learning for Person Re-IdentificationCode0
Local-HDP: Interactive Open-Ended 3D Object Categorization in Real-Time Robotic Scenarios—0
Learning Physical Graph Representations from Visual ScenesCode1
Unsupervised Domain Adaptation through Inter-modal Rotation for RGB-D Object RecognitionCode0
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNsCode0
Multiple Riemannian Manifold-valued Descriptors based Image Set Classification with Multi-Kernel Metric Learning—0
Look Further to Recognize Better: Learning Shared Topics and Category-Specific Dictionaries for Open-Ended 3D Object Recognition—0
Visualizing Representational Dynamics with Multidimensional Scaling Alignment—0
Learning robust visual representations using data augmentation invarianceCode0
Improved object recognition using neural networks trained to mimic the brain's statistical propertiesCode0
Aligning Artificial Neural Networks to the Brain yields Shallow Recurrent Architectures—0
PCA-RECT: An Energy-efficient Object Detection Approach for Event Cameras—0
Humans can decipher adversarial images—0
Grassmannian Discriminant Maps (GDM) for Manifold Dimensionality Reduction with Application to Image Set Classification—0
Part-Aware Fine-grained Object Categorization using Weakly Supervised Part Detection NetworkCode0
Best sources forward: domain generalization through source-specific nets—0
Sparse, Collaborative, or Nonnegative Representation: Which Helps Pattern Classification?—0
Data augmentation instead of explicit regularizationCode0
Recurrent Convolutional Fusion for RGB-D Object RecognitionCode0
Multiple Manifolds Metric Learning with Application to Image Set Classification—0
A Simple Riemannian Manifold Network for Image Set Classification—0
Visual Object Categorization Based on Hierarchical Shape Motifs Learned From Noisy Point Cloud Decompositions—0
VISER: Visual Self-Regularization—0
Convolutional Networks for Object Category and 3D Pose Estimation from 2D Images—0
Dual Skipping Networks—0
Enhanced Biologically Inspired Model for Image Recognition Based on a Novel Patch Selection Method with Moment—0
Are we done with object recognition? The iCub robot's perspectiveCode0
SimiNet: a Novel Method for Quantifying Brain Network Similarity—0
Cross-label Suppression: A Discriminative and Fast Dictionary Learning with Group Regularization—0
Weakly-Supervised Spatial Context Networks—0
Evolution in Groups: A deeper look at synaptic cluster driven evolution of deep neural networks—0
Object categorization in finer levels requires higher spatial frequencies, and therefore takes longer—0
Learning Deep Visual Object Models From Noisy Web Data: How to Make it WorkCode0
Emergence of Selective Invariance in Hierarchical Feed Forward Networks—0
Cost-Effective Active Learning for Deep Image ClassificationCode0
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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