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

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Showing 2551–2600 of 10419 papers

TitleStatusHype
Probabilistic MIMO U-Net: Efficient and Accurate Uncertainty Estimation for Pixel-wise RegressionCode1
Unified Data-Free Compression: Pruning and Quantization without Fine-Tuning—0
Robustness Stress Testing in Medical Image ClassificationCode0
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy MinimizationCode1
Contrastive Bi-Projector for Unsupervised Domain AdaptionCode0
Multi-Receiver Task-Oriented Communications via Multi-Task Deep Learning—0
Free-ATM: Exploring Unsupervised Learning on Diffusion-Generated Images with Free Attention Masks—0
SimMatchV2: Semi-Supervised Learning with Graph ConsistencyCode1
TorchQL: A Programming Framework for Integrity Constraints in Machine Learning—0
Neural Networks at a Fraction with Pruned Quaternions—0
Gated Attention Coding for Training High-performance and Efficient Spiking Neural NetworksCode1
DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut LearningCode0
Distributionally Robust Optimization and Invariant Representation Learning for Addressing Subgroup Underrepresentation: Mechanisms and Limitations—0
Target Detection on Hyperspectral Images Using MCMC and VI Trained Bayesian Neural Networks—0
Scale-Preserving Automatic Concept Extraction (SPACE)Code0
Diffusion-based Visual Counterfactual Explanations -- Towards Systematic Quantitative EvaluationCode0
End-to-End Optimization of JPEG-Based Deep Learning Process for Image Classification—0
Fine-Grained Self-Supervised Learning with Jigsaw Puzzles for Medical Image ClassificationCode1
Robust Asymmetric Loss for Multi-Label Long-Tailed LearningCode1
Spintronics for image recognition: performance benchmarking via ultrafast data-driven simulations—0
FPGA Resource-aware Structured Pruning for Real-Time Neural Networks—0
Spatial Gated Multi-Layer Perceptron for Land Use and Land Cover MappingCode1
Which Tokens to Use? Investigating Token Reduction in Vision TransformersCode1
Multiscale patch-based feature graphs for image classificationCode0
ScatterUQ: Interactive Uncertainty Visualizations for Multiclass Deep Learning ProblemsCode0
Few-shot medical image classification with simple shape and texture text descriptors using vision-language models—0
CheXFusion: Effective Fusion of Multi-View Features using Transformers for Long-Tailed Chest X-Ray ClassificationCode1
Improved Activation Clipping for Universal Backdoor Mitigation and Test-Time DetectionCode0
Improving Medical Image Classification in Noisy Labels Using Only Self-supervised PretrainingCode1
Improving Performance of Semi-Supervised Learning by Adversarial Attacks—0
Distributionally Robust Classification on a Data BudgetCode0
ALFA -- Leveraging All Levels of Feature Abstraction for Enhancing the Generalization of Histopathology Image Classification Across Unseen Hospitals—0
AFN: Adaptive Fusion Normalization via an Encoder-Decoder FrameworkCode1
Precise Benchmarking of Explainable AI Attribution MethodsCode0
NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic SegmentationCode1
MiAMix: Enhancing Image Classification through a Multi-stage Augmented Mixed Sample Data Augmentation Method—0
ReCLIP: Refine Contrastive Language Image Pre-Training with Source Free Domain AdaptationCode1
SureFED: Robust Federated Learning via Uncertainty-Aware Inward and Outward Inspection—0
Evolutionary Multi-objective Optimisation in Neurotrajectory Prediction—0
Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer Network—0
Food Classification using Joint Representation of Visual and Textual Data—0
ETran: Energy-Based Transferability EstimationCode0
A Novel Convolutional Neural Network Architecture with a Continuous SymmetryCode1
Deep Neural Networks Fused with Textures for Image Classification—0
URET: Universal Robustness Evaluation Toolkit (for Evasion)Code1
Explainable unsupervised multi-modal image registration using deep networks—0
VisAlign: Dataset for Measuring the Degree of Alignment between AI and Humans in Visual PerceptionCode1
Attention-free Spikformer: Mixing Spike Sequences with Simple Linear Transforms—0
PerceptionCLIP: Visual Classification by Inferring and Conditioning on ContextsCode1
Unlearning Spurious Correlations in Chest X-ray 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