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 5751–5775 of 10420 papers

TitleStatusHype
Multiple EffNet/ResNet Architectures for Melanoma Classification—0
GAF-NAU: Gramian Angular Field encoded Neighborhood Attention U-Net for Pixel-Wise Hyperspectral Image Classification—0
A 3-stage Spectral-spatial Method for Hyperspectral Image Classification—0
Robustness Testing of Data and Knowledge Driven Anomaly Detection in Cyber-Physical Systems—0
Image Data Augmentation for Deep Learning: A Survey—0
LayoutLMv3: Pre-training for Document AI with Unified Text and Image MaskingCode0
Optical Remote Sensing Image Understanding with Weak Supervision: Concepts, Methods, and Perspectives—0
An Extendable, Efficient and Effective Transformer-based Object Detector—0
Searching Intrinsic Dimensions of Vision Transformers—0
Privacy-Preserving Image Classification Using Isotropic Network—0
Explainable Analysis of Deep Learning Methods for SAR Image Classification—0
Relaxing Equivariance Constraints with Non-stationary Continuous Filters—0
Detection of Degraded Acacia tree species using deep neural networks on uav drone imagery—0
HASA: Hybrid Architecture Search with Aggregation Strategy for Echinococcosis Classification and Ovary Segmentation in Ultrasound Images—0
VisCUIT: Visual Auditor for Bias in CNN Image ClassifierCode0
Examining the Proximity of Adversarial Examples to Class Manifolds in Deep Networks—0
On the Equity of Nuclear Norm Maximization in Unsupervised Domain Adaptation—0
Adaptive Cross-Attention-Driven Spatial-Spectral Graph Convolutional Network for Hyperspectral Image Classification—0
Out-Of-Distribution Detection In Unsupervised Continual Learning—0
Comparison Analysis of Traditional Machine Learning and Deep Learning Techniques for Data and Image Classification—0
Effective Mutation Rate Adaptation through Group Elite Selection—0
Regularization-based Pruning of Irrelevant Weights in Deep Neural ArchitecturesCode0
Machine Learning State-of-the-Art with UncertaintiesCode0
A Simple Approach to Adversarial Robustness in Few-shot Image ClassificationCode0
Representation Learning by Detecting Incorrect Location EmbeddingsCode0
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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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 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