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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1601–1625 of 2042 papers

TitleStatusHype
An online passive-aggressive algorithm for difference-of-squares classification—0
A Non-Technical Survey on Deep Convolutional Neural Network Architectures—0
An optical biomimetic eyes with interested object imaging—0
A Novel Biologically Mechanism-Based Visual Cognition Model--Automatic Extraction of Semantics, Formation of Integrated Concepts and Re-selection Features for Ambiguity—0
A Novel Deep ML Architecture by Integrating Visual Simultaneous Localization and Mapping (vSLAM) into Mask R-CNN for Real-time Surgical Video Analysis—0
A Novel Equation based Classifier for Detecting Human in Images—0
A Novel Explainable Artificial Intelligence Model in Image Classification problem—0
A Novel Feature Extraction Method for Scene Recognition Based on Centered Convolutional Restricted Boltzmann Machines—0
A novel feature-scrambling approach reveals the capacity of convolutional neural networks to learn spatial relations—0
A Novel Locally Linear KNN Model for Visual Recognition—0
A Novel mapping for visual to auditory sensory substitution—0
An Overview Of 3D Object Detection—0
Answer-Type Prediction for Visual Question Answering—0
Anytime Recognition of Objects and Scenes—0
A Performance Evaluation of Correspondence Grouping Methods for 3D Rigid Data Matching—0
A Poodle or a Dog? Evaluating Automatic Image Annotation Using Human Descriptions at Different Levels of Granularity—0
Application of 2D Homography for High Resolution Traffic Data Collection using CCTV Cameras—0
Application of Deep Learning in Generating Desired Design Options: Experiments Using Synthetic Training Dataset—0
Application of Faster R-CNN model on Human Running Pattern Recognition—0
Applications of Probabilistic Programming (Master's thesis, 2015)—0
Approximate Log-Hilbert-Schmidt Distances Between Covariance Operators for Image Classification—0
Approximation of dilation-based spatial relations to add structural constraints in neural networks—0
A priori compression of convolutional neural networks for wave simulators—0
A Probabilistic Framework for Dynamic Object Recognition in 3D Environment With A Novel Continuous Ground Estimation Method—0
A Proper Orthogonal Decomposition approach for parameters reduction of Single Shot Detector networks—0
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All datasetsshape biasCIFAR10-DVSN-Caltech 101ObjectNet (All classes)ObjectNet (ImageNet classes)ObjectNet (ImageNet classes, trained on ImageNet)DVS128 GestureMECCANON-CARS

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Imagenshape bias98.7—Unverified
2Stable Diffusionshape bias92.7—Unverified
3Partishape bias91.7—Unverified
4ViT-22B-384shape bias86.4—Unverified
5ViT-22B-560shape bias83.8—Unverified
6CLIP (ViT-B)shape bias79.9—Unverified
7ViT-22B-224shape bias78—Unverified
8ResNet-50 (L2 eps 5.0 adv trained)shape bias69.5—Unverified
9ResNet-50 (with strong augmentations)shape bias62.2—Unverified
10SWSL (ResNeXt-101)shape bias49.8—Unverified
#ModelMetricClaimedVerifiedStatus
1Spike-VGG11Accuracy (% )85.55—Unverified
2SSNNAccuracy (% )78.57—Unverified
#ModelMetricClaimedVerifiedStatus
1Spike-VGG11Accuracy (% )85.62—Unverified
2SSNNAccuracy (% )79.25—Unverified
#ModelMetricClaimedVerifiedStatus
1ObjectNet-BaselineTop 5 Accuracy18.75—Unverified
2yunTop 5 Accuracy14.75—Unverified
#ModelMetricClaimedVerifiedStatus
1ObjectNet-BaselineTop 5 Accuracy52.24—Unverified
2DYTop 5 Accuracy0.08—Unverified
#ModelMetricClaimedVerifiedStatus
1ObjectNet-BaselineTop 5 Accuracy52.24—Unverified
2AJ2021Top 5 Accuracy27.68—Unverified
#ModelMetricClaimedVerifiedStatus
1SSNNAccuracy (% )94.91—Unverified
#ModelMetricClaimedVerifiedStatus
1Faster-RCNNmAP30.39—Unverified
#ModelMetricClaimedVerifiedStatus
1Spike-VGG11Accuracy (% )96—Unverified