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 36213630 of 10420 papers

TitleStatusHype
Classifying Images with CoLaNET Spiking Neural Network -- the MNIST Example0
Ensemble of Models Trained by Key-based Transformed Images for Adversarially Robust Defense Against Black-box Attacks0
FIXED: Frustratingly Easy Domain Generalization with Mixup0
Ensembles of feedforward-designed convolutional neural networks0
Ensemble Soft-Margin Softmax Loss for Image Classification0
Classifying neuromorphic data using a deep learning framework for image classification0
Detection of Plant Leaf Disease Directly in the JPEG Compressed Domain using Transfer Learning Technique0
Detection of Non-uniformity in Parameters for Magnetic Domain Pattern Generation by Machine Learning0
Entanglement and Tensor Networks for Supervised Image Classification0
Bias-Eliminating Augmentation Learning for Debiased Federated Learning0
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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