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 551575 of 2042 papers

TitleStatusHype
Label Efficient Regularization and Propagation for Graph Node Classification0
Sensitivity of sparse codes to image distortions0
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot ClassificationCode1
Hybrid Predictive Coding: Inferring, Fast and Slow0
Exploiting Temporal Relations on Radar Perception for Autonomous Driving0
Neurosymbolic hybrid approach to driver collision warning0
Salt Detection Using Segmentation of Seismic Image0
Ev-TTA: Test-Time Adaptation for Event-Based Object RecognitionCode1
A Real-time Junk Food Recognition System based on Machine Learning0
Visuo-Haptic Object Perception for Robots: An Overview0
Computer vision and machine learning for medical image analysis: recent advances, challenges, and way forward0
Vision Transformer with Convolutions Architecture Search0
Grasp Pre-shape Selection by Synthetic Training: Eye-in-hand Shared Control on the Hannes ProsthesisCode0
Neural Part Priors: Learning to Optimize Part-Based Object Completion in RGB-D Scans0
DetMatch: Two Teachers are Better Than One for Joint 2D and 3D Semi-Supervised Object DetectionCode1
InsCon:Instance Consistency Feature Representation via Self-Supervised Learning0
Soft-margin classification of object manifolds0
Mixed Evidence for Gestalt Grouping in Deep Neural NetworksCode0
FisheyeHDK: Hyperbolic Deformable Kernel Learning for Ultra-Wide Field-of-View Image Recognition0
Unpaired Image Captioning by Image-level Weakly-Supervised Visual Concept Recognition0
The Familiarity Hypothesis: Explaining the Behavior of Deep Open Set Methods0
Hybrid Optimized Deep Convolution Neural Network based Learning Model for Object Detection0
TANDEM: Learning Joint Exploration and Decision Making with Tactile Sensors0
Building a visual semantics aware object hierarchy0
Universal adversarial perturbation for remote sensing images0
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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