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

Showing 85268550 of 10420 papers

TitleStatusHype
A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis0
Augmenting Data with Mixup for Sentence Classification: An Empirical StudyCode0
Dual Active Sampling on Batch-Incremental Active LearningCode0
Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures0
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture SearchCode0
Deep Transfer Learning Methods for Colon Cancer Classification in Confocal Laser Microscopy Images0
DARC: Differentiable ARchitecture Compression0
Testing DNN Image Classifiers for Confusion & Bias ErrorsCode0
Percival: Making In-Browser Perceptual Ad Blocking Practical With Deep LearningCode0
Transfer Learning based Detection of Diabetic Retinopathy from Small DatasetCode0
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 Trials0
PAGANDA: An Adaptive Task-Independent Automatic Data AugmentationCode0
Joint Learning of Neural Networks via Iterative Reweighted Least SquaresCode0
TRk-CNN: Transferable Ranking-CNN for image classification of glaucoma, glaucoma suspect, and normal eyes0
ROI Regularization for Semi-supervised and Supervised Learning0
An Efficient Pre-processing Method to Eliminate Adversarial Effects0
BiRA-Net: Bilinear Attention Net for Diabetic Retinopathy GradingCode0
Online Normalization for Training Neural NetworksCode0
Orthogonal Deep Neural NetworksCode0
Dynamic Neural Network Channel Execution for Efficient Training0
3D Dense Separated Convolution Module for Volumetric Image Analysis0
Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image ClassificationCode0
Efficient Ladder-style DenseNets for Semantic Segmentation of Large ImagesCode0
Transition Subspace Learning based Least Squares Regression for Image Classification0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified