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 1226–1250 of 2042 papers

TitleStatusHype
SISA: Securing Images by Selective Alteration—0
SizeNet: Object Recognition via Object Real Size-based Convolutional Networks—0
SLAM++: Simultaneous Localisation and Mapping at the Level of Objects—0
Contour Sparse Representation with SDD Features for Object Recognition—0
SOAR: Advancements in Small Body Object Detection for Aerial Imagery Using State Space Models and Programmable Gradients—0
Soft-margin classification of object manifolds—0
Software-Defined FPGA Accelerator Design for Mobile Deep Learning Applications—0
Sound Event Detection with Binary Neural Networks on Tightly Power-Constrained IoT Devices—0
SPARK: SPAcecraft Recognition leveraging Knowledge of Space Environment—0
Sparse Depth Completion with Semantic Mesh Deformation Optimization—0
Sparse distributed localized gradient fused features of objects—0
Sparse Output Coding for Large-Scale Visual Recognition—0
Spatial457: A Diagnostic Benchmark for 6D Spatial Reasoning of Large Mutimodal Models—0
Spatial-Aware Graph Relation Network for Large-Scale Object Detection—0
Spatio-Temporal Facial Expression Recognition Using Convolutional Neural Networks and Conditional Random Fields—0
Spatiotemporal Feature Learning for Event-Based Vision—0
SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-Grained Recognition—0
SpecNet: Spectral Domain Convolutional Neural Network—0
Spectral Dependency Parsing with Latent Variables—0
Spectral Processing and Optimization of Static and Dynamic 3D Geometries—0
Speech recognition in Alzheimer's disease with personal assistive robots—0
Spherical Convolutional Neural Networks: Stability to Perturbations in SO(3)—0
SpikeNAS: A Fast Memory-Aware Neural Architecture Search Framework for Spiking Neural Network-based Autonomous Agents—0
SqueezeJet: High-level Synthesis Accelerator Design for Deep Convolutional Neural Networks—0
SRTransGAN: Image Super-Resolution using Transformer based Generative Adversarial Network—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