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 9761000 of 2042 papers

TitleStatusHype
A Comparison of Few-Shot Learning Methods for Underwater Optical and Sonar Image Classification0
How Can CNNs Use Image Position for Segmentation?0
Illumination-Invariant Image from 4-Channel Images: The Effect of Near-Infrared Data in Shadow Removal0
Immersive Language Exploration with Object Recognition and Augmented Reality0
Computing the Testing Error without a Testing SetCode1
Deflating Dataset Bias Using Synthetic Data Augmentation0
IROS 2019 Lifelong Robotic Vision Challenge -- Lifelong Object Recognition Report0
When CNNs Meet Random RNNs: Towards Multi-Level Analysis for RGB-D Object and Scene RecognitionCode1
A Deeper Look at the Unsupervised Learning of Disentangled Representations in β-VAE from the Perspective of Core Object Recognition0
YCB-M: A Multi-Camera RGB-D Dataset for Object Recognition and 6DoF Pose Estimation0
SL-DML: Signal Level Deep Metric Learning for Multimodal One-Shot Action RecognitionCode1
Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network AttributionCode1
3D Object Detection Method Based on YOLO and K-Means for Image and Point Clouds0
YOLO and K-Means Based 3D Object Detection Method on Image and Point Cloud0
Unsupervised Domain Adaptation through Inter-modal Rotation for RGB-D Object RecognitionCode0
Five Points to Check when Comparing Visual Perception in Humans and MachinesCode0
VOWEL: A Local Online Learning Rule for Recurrent Networks of Probabilistic Spiking Winner-Take-All CircuitsCode1
Scaling the training of particle classification on simulated MicroBooNE events to multiple GPUs0
Learning to Detect Important People in Unlabelled Images for Semi-supervised Important People DetectionCode0
CAggNet: Crossing Aggregation Network for Medical Image Segmentation0
Light Weight Residual Dense Attention Net for Spectral Reconstruction from RGB ImagesCode0
MotionRec: A Unified Deep Framework for Moving Object Recognition0
TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection SystemsCode1
Feature Pyramid GridsCode0
Empirical Upper Bound, Error Diagnosis and Invariance Analysis of Modern Object DetectorsCode1
Show:102550
← PrevPage 40 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