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 651675 of 2042 papers

TitleStatusHype
A Multi-viewpoint Outdoor Dataset for Human Action RecognitionCode0
MetaCOG: A Hierarchical Probabilistic Model for Learning Meta-Cognitive Visual RepresentationsCode0
Empowering Local Communities Using Artificial Intelligence0
The Challenge of Appearance-Free Object Tracking with Feedforward Neural Networks0
Self-Supervised Modality-Invariant and Modality-Specific Feature Learning for 3D Objects0
Disentangling Properties of Contrastive Methods0
NODEAttack: Adversarial Attack on the Energy Consumption of Neural ODEs0
Lifelong 3D Object Recognition and Grasp Synthesis Using Dual Memory Recurrent Self-Organization NetworksCode0
How much human-like visual experience do current self-supervised learning algorithms need in order to achieve human-level object recognition?Code0
Superquadric Object Representation for Optimization-based Semantic SLAM0
Class incremental learning for video action classification0
ObjectFolder: A Dataset of Objects with Implicit Visual, Auditory, and Tactile Representations0
Object recognition for robotics from tactile time series data utilising different neural network architectures0
Compositional Clustering: Applications to Multi-Label Object Recognition and Speaker IdentificationCode0
Temporal RoI Align for Video Object Recognition0
Datasets: A Community Library for Natural Language ProcessingCode3
Capturing the objects of vision with neural networks0
Voxel Transformer for 3D Object DetectionCode1
Recognition Awareness: An Application of Latent Cognizance to Open-Set Recognition0
An Underwater Image Semantic Segmentation Method Focusing on Boundaries and a Real Underwater Scene Semantic Segmentation DatasetCode0
Airplane Type Identification Based on Mask RCNN; An Approach to Reduce Airport Traffic Congestion0
Reducing Label Effort: Self-Supervised meets Active Learning0
OOWL500: Overcoming Dataset Collection Bias in the Wild0
Deep Bayesian Image Set Classification: A Defence Approach against Adversarial Attacks0
VisBuddy -- A Smart Wearable Assistant for the Visually Challenged0
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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