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 551–575 of 2042 papers

TitleStatusHype
Optimizing Multi-Domain Performance with Active Learning-based Improvement Strategies—0
A priori compression of convolutional neural networks for wave simulators—0
Pinpointing Why Object Recognition Performance Degrades Across Income Levels and GeographiesCode0
Boosting Cross-task Transferability of Adversarial Patches with Visual Relations—0
Domain Generalization In Robust Invariant RepresentationCode0
What's in a Name? Beyond Class Indices for Image Recognition—0
Investigating the Role of Attribute Context in Vision-Language Models for Object Recognition and Detection—0
Improving Out-of-Distribution Detection with Disentangled Foreground and Background FeaturesCode0
Variation of Gender Biases in Visual Recognition Models Before and After Finetuning—0
Feature representations useful for predicting image memorability—0
Machine Learning Computer Vision Applications for Spatial AI Object Recognition in Orange County, California—0
EvConv: Fast CNN Inference on Event Camera Inputs For High-Speed Robot Perception—0
Toward a Geometric Theory of Manifold Untangling—0
Domain-aware Triplet loss in Domain GeneralizationCode0
DuEqNet: Dual-Equivariance Network in Outdoor 3D Object Detection for Autonomous Driving—0
InOR-Net: Incremental 3D Object Recognition Network for Point Cloud Representation—0
Scaling Vision Transformers to 22 Billion ParametersCode0
Zero-Knowledge Zero-Shot Learning for Novel Visual Category Discovery—0
Convolutional Neural Networks Trained to Identify Words Provide a Surprisingly Good Account of Visual Form Priming Effects—0
Dynamic Atomic Column Detection in Transmission Electron Microscopy Videos via Ridge Estimation—0
Diverse, Difficult, and Odd Instances (D2O): A New Test Set for Object ClassificationCode0
Connecting metrics for shape-texture knowledge in computer vision—0
An Efficient Semi-Automated Scheme for Infrastructure LiDAR Annotation—0
Effective Baselines for Multiple Object Rearrangement Planning in Partially Observable Mapped Environments—0
ODOR: The ICPR2022 ODeuropa Challenge on Olfactory Object Recognition—0
Show:102550
← PrevPage 23 of 82Next →
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