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 25112520 of 10420 papers

TitleStatusHype
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective0
Domain Wall Magnetic Tunnel Junction Reliable Integrate and Fire Neuron0
Do the Frankenstein, or how to achieve better out-of-distribution performance with manifold mixing model soup0
CNN Based Analysis of the Luria’s Alternating Series Test for Parkinson’s Disease Diagnostics0
CNN architecture extraction on edge GPU0
A Practical Guide to CNNs and Fisher Vectors for Image Instance Retrieval0
CNN and ViT Efficiency Study on Tiny ImageNet and DermaMNIST Datasets0
Approximation properties of Residual Neural Networks for Kolmogorov PDEs0
Domain Agnostic Few-Shot Learning For Document Intelligence0
Adversarially Robust Generalization Requires More Data0
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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