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 32213230 of 10420 papers

TitleStatusHype
Extending global-local view alignment for self-supervised learning with remote sensing imageryCode1
Schema Inference for Interpretable Image ClassificationCode1
Stabilizing Transformer Training by Preventing Attention Entropy CollapseCode2
Distributionally Robust Optimization with Probabilistic GroupCode0
Uncertainty quantification in neural network classifiers -- a local linear approach0
Optimizing Federated Learning for Medical Image Classification on Distributed Non-iid Datasets with Partial Labels0
AnoMalNet: Outlier Detection based Malaria Cell Image Classification Method Leveraging Deep Autoencoder0
Understanding and Constructing Latent Modality Structures in Multi-modal Representation Learning0
TAKT: Target-Aware Knowledge Transfer for Whole Slide Image ClassificationCode0
Variational Quantum Neural Networks (VQNNS) in Image Classification0
Show:102550
← PrevPage 323 of 1042Next →

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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 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