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 2276–2300 of 10420 papers

TitleStatusHype
Compressed Meta-Optical Encoder for Image Classification—0
Differentially Private Meta-Learning—0
Affine-Transformation-Invariant Image Classification by Differentiable Arithmetic Distribution Module—0
A Safety Assurable Human-Inspired Perception Architecture—0
A Basic Evaluation of Neural Networks Trained with the Error Diffusion Learning Algorithm—0
Differential Privacy Analysis of Decentralized Gossip Averaging under Varying Threat Models—0
Compressed Domain Image Classification Using a Dynamic-Rate Neural Network—0
Comprehensive Study on Performance Evaluation and Optimization of Model Compression: Bridging Traditional Deep Learning and Large Language Models—0
ARTxAI: Explainable Artificial Intelligence Curates Deep Representation Learning for Artistic Images using Fuzzy Techniques—0
Art of singular vectors and universal adversarial perturbations—0
A Feature Fusion-Net Using Deep Spatial Context Encoder and Nonstationary Joint Statistical Model for High Resolution SAR Image Classification—0
Topology-aware Differential Privacy for Decentralized Image Classification—0
Compound Batch Normalization for Long-tailed Image Classification—0
Compositional Training for End-to-End Deep AUC Maximization—0
Artist, Style And Year Classification Using Face Recognition And Clustering With Convolutional Neural Networks—0
Compositional Models: Multi-Task Learning and Knowledge Transfer with Modular Networks—0
Artificial Intelligence-Based Image Classification for Diagnosis of Skin Cancer: Challenges and Opportunities—0
A Feature Embedding Strategy for High-level CNN representations from Multiple ConvNets—0
Differentially Private Federated Learning via Inexact ADMM—0
Compositional Few-Shot Recognition with Primitive Discovery and Enhancing—0
A Feasibility study for Deep learning based automated brain tumor segmentation using Magnetic Resonance Images—0
Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition under Occlusion—0
Combining Compositional Models and Deep Networks For Robust Object Classification under Occlusion—0
Acoustic Signal Analysis with Deep Neural Network for Detecting Fault Diagnosis in Industrial Machines—0
Compositional Attribute Imbalance in Vision Datasets—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