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 8651–8700 of 10420 papers

TitleStatusHype
Why do These Match? Explaining the Behavior of Image Similarity ModelsCode0
SuperCaptioning: Image Captioning Using Two-dimensional Word Embedding—0
Cold Case: The Lost MNIST DigitsCode0
Adversarial Distillation for Ordered Top-k Attacks—0
Bivariate Beta-LSTMCode0
Additive Noise Annealing and Approximation Properties of Quantized Neural NetworksCode0
Fully Hyperbolic Convolutional Neural Networks—0
On the Learning Dynamics of Two-layer Nonlinear Convolutional Neural Networks—0
Semi-supervised GAN for Classification of Multispectral Imagery Acquired by UAVs—0
FasTrCaps: An Integrated Framework for Fast yet Accurate Training of Capsule NetworksCode0
Tucker Decomposition Network: Expressive Power and Comparison—0
Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional NetworksCode0
The Convolutional Tsetlin MachineCode0
A Direct Approach to Robust Deep Learning Using Adversarial NetworksCode0
Multi-Sample Dropout for Accelerated Training and Better GeneralizationCode0
Fine-grained Optimization of Deep Neural NetworksCode0
Dual Active Sampling on Batch-Incremental Active LearningCode0
A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis—0
Augmenting Data with Mixup for Sentence Classification: An Empirical StudyCode0
Segmentation-Aware Hyperspectral Image Classification—0
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture SearchCode0
Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures—0
DARC: Differentiable ARchitecture Compression—0
Deep Transfer Learning Methods for Colon Cancer Classification in Confocal Laser Microscopy Images—0
Testing DNN Image Classifiers for Confusion & Bias ErrorsCode0
Spectral Metric for Dataset Complexity AssessmentCode0
SSFN -- Self Size-estimating Feed-forward Network with Low Complexity, Limited Need for Human Intervention, and Consistent Behaviour across Trials—0
Transfer Learning based Detection of Diabetic Retinopathy from Small DatasetCode0
Percival: Making In-Browser Perceptual Ad Blocking Practical With Deep LearningCode0
Joint Learning of Neural Networks via Iterative Reweighted Least SquaresCode0
PAGANDA: An Adaptive Task-Independent Automatic Data AugmentationCode0
TRk-CNN: Transferable Ranking-CNN for image classification of glaucoma, glaucoma suspect, and normal eyes—0
Dynamic Neural Network Channel Execution for Efficient Training—0
Orthogonal Deep Neural NetworksCode0
BiRA-Net: Bilinear Attention Net for Diabetic Retinopathy GradingCode0
An Efficient Pre-processing Method to Eliminate Adversarial Effects—0
Online Normalization for Training Neural NetworksCode0
ROI Regularization for Semi-supervised and Supervised Learning—0
Efficient Ladder-style DenseNets for Semantic Segmentation of Large ImagesCode0
3D Dense Separated Convolution Module for Volumetric Image Analysis—0
Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image ClassificationCode0
Transition Subspace Learning based Least Squares Regression for Image Classification—0
Hierarchically Structured Meta-learningCode0
A novel statistical metric learning for hyperspectral image classification—0
Multi-Agent Image Classification via Reinforcement LearningCode0
Deep Neural Networks for Marine Debris Detection in Sonar Images—0
Generative Adversarial Networks and Conditional Random Fields for Hyperspectral Image Classification—0
Breast cancer image classification on WSI with spatial correlationsCode0
Budgeted Training: Rethinking Deep Neural Network Training Under Resource ConstraintsCode0
Multitask Deep Learning with Spectral Knowledge for Hyperspectral Image ClassificationCode0
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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