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 4651–4675 of 10420 papers

TitleStatusHype
Access Control of Object Detection Models Using Encrypted Feature Maps—0
Improving Evaluation of Debiasing in Image Classification—0
DDS-NAS: Dynamic Data Selection within Neural Architecture Search via On-line Hard Example Mining applied to Image Classification—0
DDIPNet and DDIPNet+: Discriminant Deep Image Prior Networks for Remote Sensing Image Classification—0
Automated eye disease classification method from anterior eye image using anatomical structure focused image classification technique—0
Adaptive Adversarial Attack on Scene Text Recognition—0
Automated COVID-19 CT Image Classification using Multi-head Channel Attention in Deep CNN—0
Accelerated Distributed Stochastic Non-Convex Optimization over Time-Varying Directed Networks—0
DCTNet : A Simple Learning-free Approach for Face Recognition—0
DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification—0
Advancing Ischemic Stroke Diagnosis: A Novel Two-Stage Approach for Blood Clot Origin Identification—0
Improved OOD Generalization via Adversarial Training and Pre-training—0
Frustratingly Easy Uncertainty Estimation for Distribution Shift—0
Improve Unsupervised Domain Adaptation with Mixup Training—0
Improving Explainability of Image Classification in Scenarios with Class Overlap: Application to COVID-19 and Pneumonia—0
DCT-CompCNN: A Novel Image Classification Network Using JPEG Compressed DCT Coefficients—0
DC-SGD: Differentially Private SGD with Dynamic Clipping through Gradient Norm Distribution Estimation—0
Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification—0
DCNN: Dual Cross-current Neural Networks Realized Using An Interactive Deep Learning Discriminator for Fine-grained Objects—0
Alleviating Noisy-label Effects in Image Classification via Probability Transition Matrix—0
Adaptive Active Learning for Image Classification—0
DCAT: Dual Cross-Attention Fusion for Disease Classification in Radiological Images with Uncertainty Estimation—0
CNN depth analysis with different channel inputs for Acoustic Scene Classification—0
Auto-FPN: Automatic Network Architecture Adaptation for Object Detection Beyond Classification—0
Improved Mix-up with KL-Entropy for Learning From Noisy Labels—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