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 34913500 of 10420 papers

TitleStatusHype
A Dataset for Troll Classification of TamilMemes0
Elastic Neural Networks: A Scalable Framework for Embedded Computer Vision0
Federated Variational Inference: Towards Improved Personalization and Generalization0
big.LITTLE Vision Transformer for Efficient Visual Recognition0
AED: An black-box NLP classifier model attacker0
Federated Learning with Privacy-Preserving Ensemble Attention Distillation0
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning0
Elucidating and Overcoming the Challenges of Label Noise in Supervised Contrastive Learning0
BigEarthNet-MM: A Large Scale Multi-Modal Multi-Label Benchmark Archive for Remote Sensing Image Classification and Retrieval0
A Dataset and Benchmarks for Multimedia Social Analysis0
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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