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 776–800 of 10419 papers

TitleStatusHype
Breast Cancer Histopathology Classification using CBAM-EfficientNetV2 with Transfer Learning—0
Bayesian Optimization for Hyperparameters Tuning in Neural Networks—0
Multi-Level Feature Distillation of Joint Teachers Trained on Distinct Image DatasetsCode0
Active Learning for Vision-Language Models—0
FakeFormer: Efficient Vulnerability-Driven Transformers for Generalisable Deepfake DetectionCode0
FewVS: A Vision-Semantics Integration Framework for Few-Shot Image ClassificationCode1
AiSciVision: A Framework for Specializing Large Multimodal Models in Scientific Image ClassificationCode0
Interpretable Image Classification with Adaptive Prototype-based Vision TransformersCode1
Historical Test-time Prompt Tuning for Vision Foundation Models—0
Sequential Large Language Model-Based Hyper-parameter OptimizationCode0
Annotation Efficiency: Identifying Hard Samples via Blocked Sparse Linear Bandits—0
Enhancing CNN Classification with Lamarckian Memetic Algorithms and Local Search—0
A Multimodal Approach For Endoscopic VCE Image Classification Using BiomedCLIP-PubMedBERTCode0
OReole-FM: successes and challenges toward billion-parameter foundation models for high-resolution satellite imagery—0
Learning the Regularization Strength for Deep Fine-Tuning via a Data-Emphasized Variational ObjectiveCode0
Spatial-Temporal Search for Spiking Neural Networks—0
Noise Adaption Network for Morse Code Image ClassificationCode0
A Combinatorial Approach to Neural Emergent Communication—0
Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks—0
Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing—0
Enhancing Multimodal Medical Image Classification using Cross-Graph Modal Contrastive LearningCode0
New Insight in Cervical Cancer Diagnosis Using Convolution Neural Network Architecture—0
Deep Learning for Active Region Classification: A Systematic Study from Convolutional Neural Networks to Vision Transformers—0
Benchmarking Large Language Models for Image Classification of Marine MammalsCode0
Development of CNN Architectures using Transfer Learning Methods for Medical Image Classification—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