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 5501–5525 of 10420 papers

TitleStatusHype
Advancing Eosinophilic Esophagitis Diagnosis and Phenotype Assessment with Deep Learning Computer Vision—0
EBHI:A New Enteroscope Biopsy Histopathological H&E Image Dataset for Image Classification Evaluation—0
Eating Habits Discovery in Egocentric Photo-streams—0
An landcover fuzzy logic classification by maximumlikelihood—0
Ease.ml: Towards Multi-tenant Resource Sharing for Machine Learning Workloads—0
Early Start Intention Detection of Cyclists Using Motion History Images and a Deep Residual Network—0
Anisotropic Diffusion Probabilistic Model for Imbalanced Image Classification—0
Advancing Cross-Domain Generalizability in Face Anti-Spoofing: Insights, Design, and Metrics—0
Cascaded Recurrent Neural Networks for Hyperspectral Image Classification—0
Early Detection and Classification of Breast Cancer Using Deep Learning Techniques—0
Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers—0
An Invisible Backdoor Attack Based On Semantic Feature—0
Dynamic texture and scene classification by transferring deep image features—0
An Investigation on Hardware-Aware Vision Transformer Scaling—0
Dynamic Spectrum Mixer for Visual Recognition—0
Dynamic Shuffle: An Efficient Channel Mixture Method—0
Dynamic Scheduling for Vehicle-to-Vehicle Communications Enhanced Federated Learning—0
Dynamic Sampling and Selective Masking for Communication-Efficient Federated Learning—0
An Introduction to Deep Visual Explanation—0
Dynamic Routing on Deep Neural Network for Thoracic Disease Classification and Sensitive Area Localization—0
Dynamic Probabilistic Pruning: A general framework for hardware-constrained pruning at different granularities—0
Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide Image Classification—0
CapsuleRRT: Relationships-Aware Regression Tracking via Capsules—0
An Introduction to Deep Morphological Networks—0
Advances in Hyperspectral Image Classification: Earth monitoring with statistical learning methods—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