SOTAVerified

Object Recognition

Object recognition is a computer vision technique for detecting + classifying objects in images or videos. Since this is a combined task of object detection plus image classification, the state-of-the-art tables are recorded for each component task here and here.

( Image credit: Tensorflow Object Detection API )

Papers

Showing 876900 of 2042 papers

TitleStatusHype
How does task structure shape representations in deep neural networks?0
Deep Feature Collaboration for Challenging 3D Finger Knuckle IdentificationCode0
Explaining Clinical Decision Support Systems in Medical Imaging using Cycle-Consistent Activation Maximization0
Fast Fourier Transformation for Optimizing Convolutional Neural Networks in Object Recognition0
Visual Object Recognition in Indoor Environments Using Topologically Persistent FeaturesCode0
Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud0
Learning to Represent Image and Text with Denotation Graph0
A Study for Universal Adversarial Attacks on Texture Recognition0
Evaluating Progress on Machine Learning for Longitudinal Electronic Healthcare Data0
Transformers: State-of-the-Art Natural Language ProcessingCode0
Robust and Efficient Post-Processing for Video Object Detection (REPP)Code1
Training CNNs in Presence of JPEG Compression: Multimedia Forensics vs Computer Vision0
Neurocoder: Learning General-Purpose Computation Using Stored Neural Programs0
Robust and efficient post-processing for video object detectionCode1
Unsupervised Feature Learning for Event Data: Direct vs Inverse Problem Formulation0
PennSyn2Real: Training Object Recognition Models without Human Labeling0
Angular Luminance for Material Segmentation0
Open-Ended Fine-Grained 3D Object Categorization by Combining Shape and Texture Features in Multiple Colorspaces0
3D_DEN: Open-ended 3D Object Recognition using Dynamically Expandable NetworksCode0
A Multisensory Learning Architecture for Rotation-invariant Object Recognition0
Object Recognition for Economic Development from Daytime Satellite Imagery0
Performance of object recognition in wearable videos0
SWP-LeafNET: A novel multistage approach for plant leaf identification based on deep CNN0
Binarized Neural Architecture Search for Efficient Object Recognition0
A Review on Near Duplicate Detection of Images using Computer Vision Techniques0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Imagenshape bias98.7Unverified
2Stable Diffusionshape bias92.7Unverified
3Partishape bias91.7Unverified
4ViT-22B-384shape bias86.4Unverified
5ViT-22B-560shape bias83.8Unverified
6CLIP (ViT-B)shape bias79.9Unverified
7ViT-22B-224shape bias78Unverified
8ResNet-50 (L2 eps 5.0 adv trained)shape bias69.5Unverified
9ResNet-50 (with strong augmentations)shape bias62.2Unverified
10SWSL (ResNeXt-101)shape bias49.8Unverified
#ModelMetricClaimedVerifiedStatus
1Spike-VGG11Accuracy (% )85.55Unverified
2SSNNAccuracy (% )78.57Unverified
#ModelMetricClaimedVerifiedStatus
1Spike-VGG11Accuracy (% )85.62Unverified
2SSNNAccuracy (% )79.25Unverified
#ModelMetricClaimedVerifiedStatus
1ObjectNet-BaselineTop 5 Accuracy18.75Unverified
2yunTop 5 Accuracy14.75Unverified
#ModelMetricClaimedVerifiedStatus
1ObjectNet-BaselineTop 5 Accuracy52.24Unverified
2DYTop 5 Accuracy0.08Unverified
#ModelMetricClaimedVerifiedStatus
1ObjectNet-BaselineTop 5 Accuracy52.24Unverified
2AJ2021Top 5 Accuracy27.68Unverified
#ModelMetricClaimedVerifiedStatus
1SSNNAccuracy (% )94.91Unverified
#ModelMetricClaimedVerifiedStatus
1Faster-RCNNmAP30.39Unverified
#ModelMetricClaimedVerifiedStatus
1Spike-VGG11Accuracy (% )96Unverified