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 7001–7025 of 10420 papers

TitleStatusHype
A Novel Approach for Classification and Forecasting of Time Series in Particle Accelerators—0
Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition—0
Few-shot Image Classification with Multi-Facet Prototypes—0
[Re] Can gradient clipping mitigate label noise?—0
Classification of Shoulder X-Ray Images with Deep Learning Ensemble Models—0
Spectral Roll-off Points Variations: Exploring Useful Information in Feature Maps by Its Variations—0
[Re] A Reproduction of Ensemble Distribution DistillationCode0
Ultrasound Image Classification using ACGAN with Small Training DatasetCode0
Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis—0
The Deep Radial Basis Function Data Descriptor (D-RBFDD) Network: A One-Class Neural Network for Anomaly Detection—0
CORL: Compositional Representation Learning for Few-Shot Classification—0
Information contraction in noisy binary neural networks and its implications—0
CNN with large memory layers—0
Learning task-agnostic representation via toddler-inspired learning—0
Deep Learning Generalization and the Convex Hull of Training Sets—0
Hyperspectral Image Classification: Artifacts of Dimension Reduction on Hybrid CNNCode0
Cross Knowledge-based Generative Zero-Shot Learning Approach with Taxonomy Regularization—0
Spatio-temporal Data Augmentation for Visual Surveillance—0
DenseNet for Breast Tumor Classification in Mammographic ImagesCode0
MinConvNets: A new class of multiplication-less Neural Networks—0
Learning degraded image classification with restoration data fidelity—0
A Comprehensive Survey on Hardware-Aware Neural Architecture Search—0
FedNS: Improving Federated Learning for collaborative image classification on mobile clients—0
Adversarial Attacks for Tabular Data: Application to Fraud Detection and Imbalanced Data—0
Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations—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
10RevCol-HTop 1 Accuracy90—Unverified