SOTAVerified

Image Classification

Image Classification is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike object detection, which involves classification and location of multiple objects within an image, image classification typically pertains to single-object images. When the classification becomes highly detailed or reaches instance-level, it is often referred to as image retrieval, which also involves finding similar images in a large database.

Source: Metamorphic Testing for Object Detection Systems

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 7801–7825 of 10420 papers

TitleStatusHype
Face Image Classification by Pooling Raw Features—0
Real-time Detection of Practical Universal Adversarial Perturbations—0
FedChain: Chained Algorithms for Near-Optimal Communication Cost in Federated Learning—0
FIXED: Frustratingly Easy Domain Generalization with Mixup—0
Fitness Landscape Footprint: A Framework to Compare Neural Architecture Search Problems—0
Real-Time Helmet Violation Detection Using YOLOv5 and Ensemble Learning—0
Confidence-Guided Data Augmentation for Improved Semi-Supervised Training—0
A FRAMEWORK FOR ROBUSTNESS CERTIFICATION OF SMOOTHED CLASSIFIERS USING F-DIVERGENCES—0
Reduced Jeffries-Matusita distance: A Novel Loss Function to Improve Generalization Performance of Deep Classification Models—0
Confidence Estimation via Auxiliary Models—0
Fisher Vectors Meet Neural Networks: A Hybrid Classification Architecture—0
Ask-n-Learn: Active Learning via Reliable Gradient Representations for Image Classification—0
Factorized Adversarial Networks for Unsupervised Domain Adaptation—0
A framework for river connectivity classification using temporal image processing and attention based neural networks—0
Reduce, Reuse, Recycle: Improving Training Efficiency with Distillation—0
Reducing Implicit Bias in Latent Domain Learning—0
[Re] Can gradient clipping mitigate label noise?—0
Recent Advances in Convolutional Neural Network Acceleration—0
FACTUAL: A Novel Framework for Contrastive Learning Based Robust SAR Image Classification—0
Recent Advances in Embedding Methods for Multi-Object Tracking: A Survey—0
Confidence estimation of classification based on the distribution of the neural network output layer—0
Recent Developments from Attribute Profiles for Remote Sensing Image Classification—0
Receptive Fields without Spike-Triggering—0
Failure Prediction by Confidence Estimation of Uncertainty-Aware Dirichlet Networks—0
Fish Disease Detection Using Image Based Machine Learning Technique in Aquaculture—0
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All datasetsImageNetCIFAR-10CIFAR-100STL-10ObjectNetMNISTSVHNiNaturalist 2018ImageNet ReaLFlowers-102Clothing1Mmini WebVision 1.0

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91—Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98—Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94—Unverified
4DaViT-GTop 1 Accuracy90.4—Unverified
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
7SwinV2-GTop 1 Accuracy90.17—Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1—Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05—Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified