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 5926–5950 of 10420 papers

TitleStatusHype
Diagnosis of Autism in Children using Facial Analysis and Deep Learning—0
Leveraging Internal Representations of Model for Magnetic Image Classification—0
Diagnosis of Alzheimer's Disease via Multi-modality 3D Convolutional Neural Network—0
Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data—0
Leveraging Spatial and Semantic Feature Extraction for Skin Cancer Diagnosis with Capsule Networks and Graph Neural Networks—0
Leveraging Superfluous Information in Contrastive Representation Learning—0
Leveraging Systematic Knowledge of 2D Transformations—0
Leveraging Foundation Models for Efficient Federated Learning in Resource-restricted Edge Networks—0
Break a Lag: Triple Exponential Moving Average for Enhanced Optimization—0
Leveraging feature communication in federated learning for remote sensing image classification—0
Diagnosis and Analysis of Celiac Disease and Environmental Enteropathy on Biopsy Images using Deep Learning Approaches—0
BI-MAML: Balanced Incremental Approach for Meta Learning—0
An Automatic Image Content Retrieval Method for better Mobile Device Display User Experiences—0
AdderSR: Towards Energy Efficient Image Super-Resolution—0
Leveraging Diffusion Models for Synthetic Data Augmentation in Protein Subcellular Localization Classification—0
Leveraging Deep Learning and Xception Architecture for High-Accuracy MRI Classification in Alzheimer Diagnosis—0
Leveraging counterfactual concepts for debugging and improving CNN model performance—0
Diagnosing Convolutional Neural Networks using their Spectral Response—0
Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual Representations—0
Leveraging Conditional Mutual Information to Improve Large Language Model Fine-Tuning For Classification—0
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups—0
Leveraging Computer Vision Application in Visual Arts: A Case Study on the Use of Residual Neural Network to Classify and Analyze Baroque Paintings—0
Leveraging CNNs and Ensemble Learning for Automated Disaster Image Classification—0
An Automated Deep Learning Approach for Bacterial Image Classification—0
Leveraging Chat-Based Large Vision Language Models for Multimodal Out-Of-Context Detection—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