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 1–10 of 80 papers

TitleStatusHype
Roboflow 100: A Rich, Multi-Domain Object Detection BenchmarkCode2
Learning Transferable Visual Models From Natural Language SupervisionCode2
GRIT: General Robust Image Task BenchmarkCode1
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise LabellingCode1
Learning Physical Graph Representations from Visual ScenesCode1
Enhancing Fine-Grained 3D Object Recognition using Hybrid Multi-Modal Vision Transformer-CNN ModelsCode0
Deep Learning Human Mind for Automated Visual ClassificationCode0
Collaborative Receptive Field LearningCode0
Cost-Effective Active Learning for Deep Image ClassificationCode0
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNsCode0
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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