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 401425 of 2042 papers

TitleStatusHype
Enhancing Pollinator Conservation towards Agriculture 4.0: Monitoring of Bees through Object RecognitionCode0
Transformer in Touch: A Survey0
BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once0
Zero-shot counting with a dual-stream neural network model0
AIris: An AI-powered Wearable Assistive Device for the Visually Impaired0
ADLDA: A Method to Reduce the Harm of Data Distribution Shift in Data Augmentation0
UnSegGNet: Unsupervised Image Segmentation using Graph Neural NetworksCode0
Probing Human Visual Robustness with Neurally-Guided Deep Neural NetworksCode0
SOAR: Advancements in Small Body Object Detection for Aerial Imagery Using State Space Models and Programmable Gradients0
Imagine2touch: Predictive Tactile Sensing for Robotic Manipulation using Efficient Low-Dimensional SignalsCode0
Open-Set 3D Semantic Instance Maps for Vision Language Navigation -- O3D-SIMCode0
Deep Models for Multi-View 3D Object Recognition: A Review0
CloudFort: Enhancing Robustness of 3D Point Cloud Classification Against Backdoor Attacks via Spatial Partitioning and Ensemble Prediction0
ECOR: Explainable CLIP for Object Recognition0
On-board classification of underwater images using hybrid classical-quantum CNN based method0
How to deal with glare for improved perception of Autonomous Vehicles0
Achieving Rotation Invariance in Convolution Operations: Shifting from Data-Driven to Mechanism-Assured0
A Diffusion-based Data Generator for Training Object Recognition Models in Ultra-Range Distance0
A Dataset and Framework for Learning State-invariant Object RepresentationsCode0
MindSet: Vision. A toolbox for testing DNNs on key psychological experimentsCode0
GLCM-Based Feature Combination for Extraction Model Optimization in Object Detection Using Machine Learning0
One Noise to Rule Them All: Multi-View Adversarial Attacks with Universal PerturbationCode0
SUGAR: Pre-training 3D Visual Representations for Robotics0
Object-conditioned Bag of Instances for Few-Shot Personalized Instance Recognition0
Constructing Multilingual Visual-Text Datasets Revealing Visual Multilingual Ability of Vision Language Models0
Show:102550
← PrevPage 17 of 82Next →

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