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 4826–4850 of 10420 papers

TitleStatusHype
Hyperbolic Dual Feature Augmentation for Open-Environment—0
Human Face Recognition using Gabor based Kernel Entropy Component Analysis—0
Incremental Learning with Differentiable Architecture and Forgetting Search—0
Human-Centered Evaluation of XAI Methods—0
Human Attention-Guided Explainable Artificial Intelligence for Computer Vision Models—0
A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification—0
Human-aligned Deep Learning: Explainability, Causality, and Biological Inspiration—0
HyperCam: Low-Power Onboard Computer Vision for IoT Cameras—0
Hyper-Class Augmented and Regularized Deep Learning for Fine-Grained Image Classification—0
Cycle-Consistent Adversarial GAN: the integration of adversarial attack and defense—0
Incremental Learning of NCM Forests for Large-Scale Image Classification—0
Incremental multi-domain learning with network latent tensor factorization—0
Human Action Recognition using Factorized Spatio-Temporal Convolutional Networks—0
HyperKon: A Self-Supervised Contrastive Network for Hyperspectral Image Analysis—0
HyperNetworks with statistical filtering for defending adversarial examples—0
Human Action Recognition in Still Images Using ConViT—0
Towards Robust Deep Active Learning for Scientific Computing—0
Hyperparameter Optimization and Boosting for Classifying Facial Expressions: How good can a "Null" Model be?—0
Hybrid quantum ResNet for car classification and its hyperparameter optimization—0
DARTS for Inverse Problems: a Study on Stability—0
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss—0
Hu-Fu: Hardware and Software Collaborative Attack Framework against Neural Networks—0
HSVLT: Hierarchical Scale-Aware Vision-Language Transformer for Multi-Label Image Classification—0
AdaPruner: Adaptive Channel Pruning and Effective Weights Inheritance—0
CVM-Cervix: A Hybrid Cervical Pap-Smear Image Classification Framework Using CNN, Visual Transformer and Multilayer Perceptron—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
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
10RevCol-HTop 1 Accuracy90—Unverified