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
Learning Transferable Visual Models From Natural Language SupervisionCode2
Roboflow 100: A Rich, Multi-Domain Object Detection BenchmarkCode2
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
A Divide-and-Conquer Method for Scalable Low-Rank Latent Matrix Pursuit—0
Aligning Artificial Neural Networks to the Brain yields Shallow Recurrent Architectures—0
Divide and Conquer: Improving Multi-Camera 3D Perception with 2D Semantic-Depth Priors and Input-Dependent Queries—0
A Unified Semantic Embedding: Relating Taxonomies and Attributes—0
Attribute-Based Classification for Zero-Shot Visual Object Categorization—0
Basic Level Categorization Facilitates Visual Object Recognition—0
Best sources forward: domain generalization through source-specific nets—0
Bio-inspired Unsupervised Learning of Visual Features Leads to Robust Invariant Object Recognition—0
A New Manifold Distance Measure for Visual Object Categorization—0
A Hierarchical Approach for Joint Multi-view Object Pose Estimation and Categorization—0
A Simple Riemannian Manifold Network for Image Set Classification—0
Classifier Adaptation at Prediction Time—0
PCA-RECT: An Energy-efficient Object Detection Approach for Event Cameras—0
Open-Ended Fine-Grained 3D Object Categorization by Combining Shape and Texture Features in Multiple Colorspaces—0
Comparing Apples to Oranges: LLM-powered Multimodal Intention Prediction in an Object Categorization Task—0
Contextual object categorization with energy-based model—0
Controlled Sparsity Kernel Learning—0
Convolutional Models for Joint Object Categorization and Pose Estimation—0
Convolutional Networks for Object Category and 3D Pose Estimation from 2D Images—0
Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception—0
Show:102550
← PrevPage 1 of 4Next →

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