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 26512675 of 10420 papers

TitleStatusHype
CardioCaps: Attention-based Capsule Network for Class-Imbalanced Echocardiogram ClassificationCode0
Improving the repeatability of deep learning models with Monte Carlo dropoutCode0
Capsule Routing via Variational BayesCode0
Improving the Gating Mechanism of Recurrent Neural NetworksCode0
Label Embedded Dictionary Learning for Image ClassificationCode0
Capsule Networks against Medical Imaging Data ChallengesCode0
An Intriguing Failing of Convolutional Neural Networks and the CoordConv SolutionCode0
CapsuleGAN: Generative Adversarial Capsule NetworkCode0
A Comparative Study on Efficiencies of Variants of Convolutional Neural Networks based on Image Classification TaskCode0
Improving robustness to corruptions with multiplicative weight perturbationsCode0
Improving Pre-Trained Weights Through Meta-Heuristics Fine-TuningCode0
Advancements in Medical Image Classification through Fine-Tuning Natural Domain Foundation ModelsCode0
Improving Prototypical Visual Explanations with Reward Reweighing, Reselection, and RetrainingCode0
An interpretable automated detection system for FISH-based HER2 oncogene amplification testing in histo-pathological routine images of breast and gastric cancer diagnosticsCode0
Can we learn better with hard samples?Code0
Improving Pairwise Ranking for Multi-label Image ClassificationCode0
Improving Random-Sampling Neural Architecture Search by Evolving the Proxy Search SpaceCode0
Improving Neural Architecture Search Image Classifiers via Ensemble LearningCode0
An Interaction-based Convolutional Neural Network (ICNN) Towards Better Understanding of COVID-19 X-ray ImagesCode0
Improving Memory Efficiency for Training KANs via Meta LearningCode0
Improving model calibration with accuracy versus uncertainty optimizationCode0
Improving Nonlinear Projection Heads using Pretrained Autoencoder EmbeddingsCode0
Can Score-Based Generative Modeling Effectively Handle Medical Image Classification?Code0
An Information-Geometric Distance on the Space of TasksCode0
Image Data Augmentation Approaches: A Comprehensive Survey and Future directionsCode0
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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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified