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 17611770 of 10420 papers

TitleStatusHype
Circumventing Outliers of AutoAugment with Knowledge DistillationCode1
Region Comparison Network for Interpretable Few-shot Image ClassificationCode1
Regression Metric Loss: Learning a Semantic Representation Space for Medical ImagesCode1
Evaluating the Adversarial Robustness of Adaptive Test-time DefensesCode1
Evaluating the visualization of what a Deep Neural Network has learnedCode1
Regularized Optimal Transport Layers for Generalized Global Pooling OperationsCode1
Class Adaptive Network CalibrationCode1
EViT: An Eagle Vision Transformer with Bi-Fovea Self-AttentionCode1
Evidential Turing ProcessesCode1
LR-Net: A Block-based Convolutional Neural Network for Low-Resolution Image ClassificationCode1
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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