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 21312140 of 10420 papers

TitleStatusHype
Cross-Iteration Batch NormalizationCode1
Improving Generalization in Federated Learning by Seeking Flat MinimaCode1
Cross-modal Adversarial ReprogrammingCode1
Improving Medical Image Classification in Noisy Labels Using Only Self-supervised PretrainingCode1
LR-Net: A Block-based Convolutional Neural Network for Low-Resolution Image ClassificationCode1
Cross-modulated Few-shot Image Generation for Colorectal Tissue ClassificationCode1
Language Quantized AutoEncoders: Towards Unsupervised Text-Image AlignmentCode1
Contextual Convolutional Neural NetworksCode1
Improving Cross-domain Few-shot Classification with Multilayer PerceptronCode1
Concept Learners for Few-Shot LearningCode1
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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