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

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Showing 1–10 of 80 papers

TitleStatusHype
Roboflow 100: A Rich, Multi-Domain Object Detection BenchmarkCode2
Learning Transferable Visual Models From Natural Language SupervisionCode2
Learning Physical Graph Representations from Visual ScenesCode1
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise LabellingCode1
GRIT: General Robust Image Task BenchmarkCode1
A New Manifold Distance Measure for Visual Object Categorization—0
Aligning Artificial Neural Networks to the Brain yields Shallow Recurrent Architectures—0
A Divide-and-Conquer Method for Scalable Low-Rank Latent Matrix Pursuit—0
Attribute-Based Classification for Zero-Shot Visual Object Categorization—0
A Hierarchical Approach for Joint Multi-view Object Pose Estimation and Categorization—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