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 5301–5325 of 10420 papers

TitleStatusHype
Deep Learning based CNN Model for Classification and Detection of Individuals Wearing Face Mask—0
Integrating Propositional and Relational Label Side Information for Hierarchical Zero-Shot Image Classification—0
Integrating Scene Text and Visual Appearance for Fine-Grained Image Classification—0
Integration and Performance Analysis of Artificial Intelligence and Computer Vision Based on Deep Learning Algorithms—0
Integration of Roadside Camera Images and Weather Data for Monitoring Winter Road Surface Conditions—0
Intelligent Cervical Spine Fracture Detection Using Deep Learning Methods—0
Intelligent Known and Novel Aircraft Recognition -- A Shift from Classification to Similarity Learning for Combat Identification—0
Deep learning based prediction of Alzheimer's disease from magnetic resonance images—0
Deep Learning Benchmarks and Datasets for Social Media Image Classification for Disaster Response—0
Interaction as Explanation: A User Interaction-based Method for Explaining Image Classification Models—0
Hierarchical Transfer Convolutional Neural Networks for Image Classification—0
Interactive Visual Study of Multiple Attributes Learning Model of X-Ray Scattering Images—0
Crossmodal Knowledge Distillation with WordNet-Relaxed Text Embeddings for Robust Image Classification—0
Improved and Explainable Cervical Cancer Classification using Ensemble Pooling of Block Fused Descriptors—0
Hierarchical Sparse Attention Framework for Computationally Efficient Classification of Biological Cells—0
Interleaving Learning, with Application to Neural Architecture Search—0
Hierarchical Side-Tuning for Vision Transformers—0
Attentive CutMix: An Enhanced Data Augmentation Approach for Deep Learning Based Image Classification—0
AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers—0
Hierarchical Semantic Tree Concept Whitening for Interpretable Image Classification—0
Interpolation between CNNs and ResNets—0
Hierarchical ResNeXt Models for Breast Cancer Histology Image Classification—0
Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification—0
Deep learning for classification of noisy QR codes—0
Cross-Modal Information Maximization for Medical Imaging: CMIM—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