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 9626–9650 of 10420 papers

TitleStatusHype
Neuronal diversity can improve machine learning for physics and beyondCode0
Learnable Adaptive Cosine Estimator (LACE) for Image ClassificationCode0
Neural Networks for Fashion Image Classification and Visual SearchCode0
Neural networks learn to magnify areas near decision boundariesCode0
Learnable Extended Activation Function (LEAF) for Deep Neural NetworksCode0
Deep Learning: An Introduction for Applied MathematiciansCode0
Deep Layer AggregationCode0
Deep Intrinsic Decomposition with Adversarial Learning for Hyperspectral Image ClassificationCode0
Neural Networks with Quantization ConstraintsCode0
LEARN: A Unified Framework for Multi-Task Domain Adapt Few-Shot LearningCode0
Learned Compression for Compressed LearningCode0
Neural NILM: Deep Neural Networks Applied to Energy DisaggregationCode0
Neural Optimizer Equation, Decay Function, and Learning Rate Schedule Joint EvolutionCode0
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency MapsCode0
Deep Hybrid Architecture for Very Low-Resolution Image Classification Using Capsule AttentionCode0
DeepGraviLens: a Multi-Modal Architecture for Classifying Gravitational Lensing DataCode0
Learning Accurate Performance Predictors for Ultrafast Automated Model CompressionCode0
Neural Plasticity NetworksCode0
Learning Activation Functions to Improve Deep Neural NetworksCode0
Bilinear CNNs for Fine-grained Visual RecognitionCode0
Learning advisor networks for noisy image classificationCode0
Neural Rate Estimator and Unsupervised Learning for Efficient Distributed Image Analytics in Split-DNN ModelsCode0
Retinal Fundus Multi-Disease Image Classification using Hybrid CNN-Transformer-Ensemble ArchitecturesCode0
Recursive Autoconvolution for Unsupervised Learning of Convolutional Neural NetworksCode0
Privacy-Aware Lifelong LearningCode0
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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