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 42314240 of 10420 papers

TitleStatusHype
Be Careful What You Backpropagate: A Case For Linear Output Activations & Gradient Boosting0
HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach0
Deep Sequential Feature Learning in Clinical Image Classification of Infectious Keratitis0
An Algorithm for Routing Capsules in All Domains0
Adaptive Regularization via Residual Smoothing in Deep Learning Optimization0
Historical Test-time Prompt Tuning for Vision Foundation Models0
How adversarial attacks can disrupt seemingly stable accurate classifiers0
How good is my GAN?0
Deep Self-taught Learning for Remote Sensing Image Classification0
Deep Self-Learning From Noisy Labels0
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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