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 1–25 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
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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