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 71–80 of 80 papers

TitleStatusHype
Enhancing Fine-Grained 3D Object Recognition using Hybrid Multi-Modal Vision Transformer-CNN ModelsCode0
Part-Aware Fine-grained Object Categorization using Weakly Supervised Part Detection NetworkCode0
Recurrent Convolutional Fusion for RGB-D Object RecognitionCode0
Cost-Effective Active Learning for Deep Image ClassificationCode0
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNsCode0
RotationNet: Joint Object Categorization and Pose Estimation Using Multiviews from Unsupervised ViewpointsCode0
IAUnet: Global Context-Aware Feature Learning for Person Re-IdentificationCode0
Learning Deep Visual Object Models From Noisy Web Data: How to Make it WorkCode0
Are we done with object recognition? The iCub robot's perspectiveCode0
Collaborative Receptive Field LearningCode0
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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