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 14911500 of 10420 papers

TitleStatusHype
Salient Positions based Attention Network for Image ClassificationCode1
Rethinking Transfer Learning for Medical Image ClassificationCode1
Cervical Cytology Classification Using PCA & GWO Enhanced Deep Features SelectionCode1
CoAtNet: Marrying Convolution and Attention for All Data SizesCode1
Self-Supervised Learning with Data Augmentations Provably Isolates Content from StyleCode1
To Smooth or Not? When Label Smoothing Meets Noisy LabelsCode1
Benchmarking Bias Mitigation Algorithms in Representation Learning through Fairness MetricsCode1
Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-grained EnvironmentsCode1
Shuffle Transformer: Rethinking Spatial Shuffle for Vision TransformerCode1
ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive BiasCode1
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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
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
10RevCol-HTop 1 Accuracy90Unverified