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 6401–6425 of 10420 papers

TitleStatusHype
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
Ultrasound Image Classification using ACGAN with Small Training DatasetCode0
PyTorch-Hebbian: facilitating local learning in a deep learning frameworkCode1
Fine-Grained Visual Classification via Simultaneously Learning of Multi-regional Multi-grained FeaturesCode1
Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis—0
Efficient-CapsNet: Capsule Network with Self-Attention RoutingCode1
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
Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNetCode2
Information contraction in noisy binary neural networks and its implications—0
CNN with large memory layers—0
Meta Adversarial Training against Universal PatchesCode1
Bottleneck Transformers for Visual RecognitionCode2
Learning task-agnostic representation via toddler-inspired learning—0
Generative Multi-Label Zero-Shot LearningCode1
Advantages and Bottlenecks of Quantum Machine Learning for Remote SensingCode1
Malware Detection Using Frequency Domain-Based Image Visualization and Deep LearningCode1
Deep Learning Generalization and the Convex Hull of Training Sets—0
Spatio-temporal Data Augmentation for Visual Surveillance—0
Hyperspectral Image Classification: Artifacts of Dimension Reduction on Hybrid CNNCode0
Cross Knowledge-based Generative Zero-Shot Learning Approach with Taxonomy Regularization—0
Online Continual Learning in Image Classification: An Empirical SurveyCode1
DenseNet for Breast Tumor Classification in Mammographic ImagesCode0
MinConvNets: A new class of multiplication-less Neural Networks—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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified