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 4801–4825 of 10420 papers

TitleStatusHype
Humble your Overconfident Networks: Unlearning Overfitting via Sequential Monte Carlo Tempered Deep Ensembles—0
Understanding More about Human and Machine Attention in Deep Neural Networks—0
D^2: Decentralized Training over Decentralized Data—0
Human-interpretable model explainability on high-dimensional data—0
Augmented Equivariant Attention Networks for Microscopy Image Reconstruction—0
Accelerating Neural Network Inference by Overflow Aware Quantization—0
Incoporating Weighted Board Learning System for Accurate Occupational Pneumoconiosis Staging—0
Hybrid CNN Bi-LSTM neural network for Hyperspectral image classification—0
Hybrid Deep Learning Framework for Classification of Kidney CT Images: Diagnosis of Stones, Cysts, and Tumors—0
Hybrid Feature Collaborative Reconstruction Network for Few-Shot Fine-Grained Image Classification—0
Incremental Few-Shot Learning via Implanting and Compressing—0
Augmented Conditioning Is Enough For Effective Training Image Generation—0
Cyclic orthogonal convolutions for long-range integration of features—0
Hybrid Orthogonal Projection and Estimation (HOPE): A New Framework to Probe and Learn Neural Networks—0
Human Imperceptible Attacks and Applications to Improve Fairness—0
Hybrid quantum image classification and federated learning for hepatic steatosis diagnosis—0
Hybrid quantum transfer learning for crack image classification on NISQ hardware—0
Hybrid Quantum Vision Transformers for Event Classification in High Energy Physics—0
Human Face Recognition using Gabor based Kernel Entropy Component Analysis—0
HydraMix: Multi-Image Feature Mixing for Small Data Image Classification—0
Human-Centered Evaluation of XAI Methods—0
HydroVision: LiDAR-Guided Hydrometric Prediction with Vision Transformers and Hybrid Graph Learning—0
Augmenting learning using symmetry in a biologically-inspired domain—0
Human Attention-Guided Explainable Artificial Intelligence for Computer Vision Models—0
A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing 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
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