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 7051–7100 of 10420 papers

TitleStatusHype
Graph Neural Networks for UnsupervisedDomain Adaptation of Histopathological ImageAnalytics—0
A Survey on Assessing the Generalization Envelope of Deep Neural Networks: Predictive Uncertainty, Out-of-distribution and Adversarial Samples—0
Spatial--spectral FFPNet: Attention-Based Pyramid Network for Segmentation and Classification of Remote Sensing Images—0
Utilizing Explainable AI for Quantization and Pruning of Deep Neural Networks—0
iCaps: An Interpretable Classifier via Disentangled Capsule Networks—0
Learning Connectivity of Neural Networks from a Topological Perspective—0
Physically-Constrained Transfer Learning through Shared Abundance Space for Hyperspectral Image Classification—0
Correcting Data Imbalance for Semi-Supervised Covid-19 Detection Using X-ray Chest Images—0
Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature AlignmentCode0
Two-phase Dynamic Routing for Micro and Macro-level Equivariance in Multi-Column Capsule NetworksCode0
Source Free Domain Adaptation with Image Translation—0
Abstracting Deep Neural Networks into Concept Graphs for Concept Level InterpretabilityCode1
Which Strategies Matter for Noisy Label Classification? Insight into Loss and Uncertainty—0
Can weight sharing outperform random architecture search? An investigation with TuNAS—0
Deep Networks with Fast Retraining—0
Single-Photon Image Classification—0
Network Architecture Search for Domain Adaptation—0
A statistical theory of cold posteriors in deep neural networks—0
Contextual Diversity for Active LearningCode1
An Ensemble of Simple Convolutional Neural Network Models for MNIST Digit RecognitionCode1
An Overview of Deep Learning Architectures in Few-Shot Learning DomainCode1
Uncertainty Quantification using Variational Inference for Biomedical Image SegmentationCode0
FATNN: Fast and Accurate Ternary Neural Networks—0
Null-sampling for Interpretable and Fair RepresentationsCode0
Non-convex Learning via Replica Exchange Stochastic Gradient MCMCCode1
More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery ClassificationCode1
Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network—0
An Efficient Confidence Measure-Based Evaluation Metric for Breast Cancer Screening Using Bayesian Neural NetworksCode0
Feature Space Augmentation for Long-Tailed Data—0
Adversarial Training with Fast Gradient Projection Method against Synonym Substitution based Text AttacksCode1
DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks—0
Comparative study of variational quantum circuit and quantum backpropagation multilayer perceptron for COVID-19 outbreak predictions—0
Learning CNN filters from user-drawn image markers for coconut-tree image classification—0
HASeparator: Hyperplane-Assisted Softmax—0
An Aggregate Method for Thorax Diseases ClassificationCode0
Image Transformation Network for Privacy-Preserving Deep Neural Networks and Its Security Evaluation—0
MED-TEX: Transferring and Explaining Knowledge with Less Data from Pretrained Medical Imaging Models—0
Diagnosis of Autism in Children using Facial Analysis and Deep Learning—0
Improving Explainability of Image Classification in Scenarios with Class Overlap: Application to COVID-19 and Pneumonia—0
Graph Convolutional Networks for Hyperspectral Image ClassificationCode1
Structured Convolutions for Efficient Neural Network Design—0
Assisted Perception: Optimizing Observations to Communicate StateCode0
Evaluating the performance of the LIME and Grad-CAM explanation methods on a LEGO multi-label image classification task—0
A non-discriminatory approach to ethical deep learning—0
Memory Efficient Class-Incremental Learning for Image Classification—0
Hyperspectral Image Classification with Spatial Consistence Using Fully Convolutional Spatial Propagation Network—0
AiRound and CV-BrCT: Novel Multi-View Datasets for Scene Classification—0
Shape Adaptor: A Learnable Resizing ModuleCode1
ResNet50_on_Cifar_100_Without_Transfer_LearningCode1
Blackbox Trojanising of Deep Learning Models : Using non-intrusive network structure and binary alterations—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