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 72267250 of 10420 papers

TitleStatusHype
Rethinking Channel Dimensions for Efficient Model DesignCode1
A deep primal-dual proximal network for image restoration0
Learning ordered pooling weights in image classificationCode0
Image Analysis Based on Nonnegative/Binary Matrix Factorization0
Robust and Accurate Authorship Attribution via Program Normalization0
Estimation with Uncertainty via Conditional Generative Adversarial Networks0
Robustifying the Deployment of tinyML Models for Autonomous mini-vehicles0
Measuring Robustness to Natural Distribution Shifts in Image ClassificationCode1
HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification0
SeqVAT: Virtual Adversarial Training for Semi-Supervised Sequence Labeling0
Language to Network: Conditional Parameter Adaptation with Natural Language Descriptions0
Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution0
Ontology-guided Semantic Composition for Zero-Shot LearningCode1
Early-Learning Regularization Prevents Memorization of Noisy LabelsCode1
Training highly effective connectivities within neural networks with randomly initialized, fixed weightsCode0
Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over ModulesCode1
Improving robustness against common corruptions by covariate shift adaptationCode1
Theory-Inspired Path-Regularized Differential Network Architecture SearchCode1
Explainable 3D Convolutional Neural Networks by Learning Temporal Transformations0
Conditional Classification: A Solution for Computational Energy Reduction0
The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network ArchitecturesCode1
Heteroskedastic and Imbalanced Deep Learning with Adaptive RegularizationCode1
Harnessing Adversarial Distances to Discover High-Confidence ErrorsCode0
Matrix Shuffle-Exchange Networks for Hard 2D TasksCode0
Active Ensemble Deep Learning for Polarimetric Synthetic Aperture Radar 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