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 7051–7075 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
Utilizing Explainable AI for Quantization and Pruning of Deep Neural Networks—0
Spatial--spectral FFPNet: Attention-Based Pyramid Network for Segmentation and Classification of Remote Sensing Images—0
iCaps: An Interpretable Classifier via Disentangled Capsule Networks—0
Learning Connectivity of Neural Networks from a Topological Perspective—0
Correcting Data Imbalance for Semi-Supervised Covid-19 Detection Using X-ray Chest Images—0
Physically-Constrained Transfer Learning through Shared Abundance Space for Hyperspectral Image Classification—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
Which Strategies Matter for Noisy Label Classification? Insight into Loss and Uncertainty—0
Abstracting Deep Neural Networks into Concept Graphs for Concept Level InterpretabilityCode1
Can weight sharing outperform random architecture search? An investigation with TuNAS—0
Deep Networks with Fast Retraining—0
Network Architecture Search for Domain Adaptation—0
Single-Photon Image Classification—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
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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
10RevCol-HTop 1 Accuracy90—Unverified