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 2201–2225 of 10420 papers

TitleStatusHype
Review of AlexNet for Medical Image Classification—0
Human-in-the-loop: Towards Label Embeddings for Measuring Classification DifficultyCode0
Using Stochastic Gradient Descent to Smooth Nonconvex Functions: Analysis of Implicit Graduated Optimization—0
Scalable Federated Learning for Clients with Different Input Image Sizes and Numbers of Output Categories—0
Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption—0
Improving Deep Learning Optimization through Constrained Parameter RegularizationCode0
Dual-channel Prototype Network for few-shot Classification of Pathological Images—0
Performance of Machine Learning Classification in Mammography Images using BI-RADS—0
Joint Source-Channel Coding for Channel-Adaptive Digital Semantic Communications—0
Test-Time Training for Semantic Segmentation with Output Contrastive LossCode0
PadChannel: Improving CNN Performance through Explicit Padding EncodingCode0
ActiveDC: Distribution Calibration for Active Finetuning—0
Learning Symmetrization for Equivariance with Orbit Distance MinimizationCode0
Optimising Human-AI Collaboration by Learning Convincing Explanations—0
Attention-Challenging Multiple Instance Learning for Whole Slide Image ClassificationCode1
Connecting the Dots: Graph Neural Network Powered Ensemble and Classification of Medical ImagesCode0
Two Stream Scene Understanding on Graph Embedding—0
Follow-Up Differential Descriptions: Language Models Resolve Ambiguities for Image ClassificationCode1
Image Classification using Combination of Topological Features and Neural Networks—0
Federated Learning Across Decentralized and Unshared Archives for Remote Sensing Image Classification—0
Deep Fast Vision: A Python Library for Accelerated Deep Transfer Learning Vision PrototypingCode1
A Coefficient Makes SVRG EffectiveCode0
Intelligent Cervical Spine Fracture Detection Using Deep Learning Methods—0
Enhancing Instance-Level Image Classification with Set-Level Labels—0
GeoTop: Advancing Image Classification with Geometric-Topological Analysis—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