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

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Showing 701–750 of 2042 papers

TitleStatusHype
Wasserstein Barycenter for Multi-Source Domain AdaptationCode1
Graph-Based High-Order Relation Discovery for Fine-Grained Recognition—0
Cloud based Scalable Object Recognition from Video Streams using Orientation Fusion and Convolutional Neural Networks—0
Place recognition survey: An update on deep learning approaches—0
Hidden Patch Attacks for Optical Flow—0
The role of temporal cortex in the control of attention—0
Deep Reinforcement Learning Models Predict Visual Responses in the Brain: A Preliminary Result—0
Deep Subdomain Adaptation Network for Image ClassificationCode1
Self-Supervised Learning with Kernel Dependence MaximizationCode1
Modeling Object Recognition in Newborn Chicks using Deep Neural Networks—0
Partial success in closing the gap between human and machine visionCode1
A Novel mapping for visual to auditory sensory substitution—0
Learning the Precise Feature for Cluster AssignmentCode0
On the role of feedback in visual processing: a predictive coding perspectiveCode0
Person Re-Identification with a Locally Aware TransformerCode1
A Hybrid APM-CPGSO Approach for Constraint Satisfaction Problem Solving: Application to Remote Sensing—0
Convolutional Neural Networks with Gated Recurrent ConnectionsCode1
DOCTOR: A Simple Method for Detecting Misclassification ErrorsCode1
Simultaneous Multi-View Object Recognition and Grasping in Open-Ended Domains—0
Statistical Mechanics of Neural Processing of Object Manifolds—0
A Voxel Graph CNN for Object Classification with Event Cameras—0
Highlight Timestamp Detection Model for Comedy Videos via Multimodal Sentiment Analysis—0
GuideMe: A Mobile Application based on Global Positioning System and Object Recognition Towards a Smart Tourist Guide—0
Weakly Supervised Instance Attention for Multisource Fine-Grained Object Recognition with an Application to Tree Species Classification—0
An online passive-aggressive algorithm for difference-of-squares classification—0
Opening Deep Neural Networks with Generative ModelsCode0
Superpixel-based Knowledge Infusion in Deep Neural Networks for Image ClassificationCode1
Are Convolutional Neural Networks or Transformers more like human vision?Code1
Brain Inspired Face Recognition: A Computational Framework—0
SizeNet: Object Recognition via Object Real Size-based Convolutional Networks—0
ORCEA: Object Recognition by Continuous Evidence Assimilation—0
Modelling of LIDAR sensor disturbances by solid airborne particles—0
BIM Hyperreality: Data Synthesis Using BIM and Hyperrealistic Rendering for Deep Learning—0
This Looks Like That... Does it? Shortcomings of Latent Space Prototype Interpretability in Deep NetworksCode1
Canonical Saliency Maps: Decoding Deep Face ModelsCode0
Learning data association without data association: An EM approach to neural assignment prediction—0
IPatch: A Remote Adversarial Patch—0
ODDObjects: A Framework for Multiclass Unsupervised Anomaly Detection on Masked ObjectsCode0
RelTransformer: A Transformer-Based Long-Tail Visual Relationship RecognitionCode1
Recurrent Feedback Improves Recognition of Partially Occluded Objects—0
SPARK: SPAcecraft Recognition leveraging Knowledge of Space Environment—0
Rock Hunting With Martian Machine Vision—0
ORBIT: A Real-World Few-Shot Dataset for Teachable Object RecognitionCode1
Artificial and beneficial -- Exploiting artificial images for aerial vehicle detection—0
Tuned Compositional Feature Replays for Efficient Stream LearningCode0
Achieving Domain Generalization in Underwater Object Detection by Domain Mixup and Contrastive Learning—0
Training Deep Neural Networks via Branch-and-BoundCode0
A Novel Deep ML Architecture by Integrating Visual Simultaneous Localization and Mapping (vSLAM) into Mask R-CNN for Real-time Surgical Video Analysis—0
Domain-robust VQA with diverse datasets and methods but no target labels—0
CNN-based search model underestimates attention guidance by simple visual features—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