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 2951–2975 of 10420 papers

TitleStatusHype
Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks—0
Noise Adaption Network for Morse Code Image ClassificationCode0
A Combinatorial Approach to Neural Emergent Communication—0
Spatial-Temporal Search for Spiking Neural Networks—0
Deep Learning for Active Region Classification: A Systematic Study from Convolutional Neural Networks to Vision Transformers—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
Development of CNN Architectures using Transfer Learning Methods for Medical Image Classification—0
Benchmarking Large Language Models for Image Classification of Marine MammalsCode0
Altogether: Image Captioning via Re-aligning Alt-text—0
KANICE: Kolmogorov-Arnold Networks with Interactive Convolutional ElementsCode0
Data Obfuscation through Latent Space Projection (LSP) for Privacy-Preserving AI Governance: Case Studies in Medical Diagnosis and Finance Fraud Detection—0
Efficient Neural Network Training via Subset Pretraining—0
Domain-Adaptive Pre-training of Self-Supervised Foundation Models for Medical Image Classification in Gastrointestinal EndoscopyCode0
ViMoE: An Empirical Study of Designing Vision Mixture-of-Experts—0
Bayesian Concept Bottleneck Models with LLM PriorsCode0
P-YOLOv8: Efficient and Accurate Real-Time Detection of Distracted Driving—0
Visual Representation Learning Guided By Multi-modal Prior Knowledge—0
Open-vocabulary vs. Closed-set: Best Practice for Few-shot Object Detection Considering Text DescribabilityCode0
Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation—0
Visual Navigation of Digital Libraries: Retrieval and Classification of Images in the National Library of Norway's Digitised Book CollectionCode0
Comparative Evaluation of Clustered Federated Learning MethodsCode0
On the Influence of Shape, Texture and Color for Learning Semantic Segmentation—0
How Do Training Methods Influence the Utilization of Vision Models?Code0
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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