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 40014010 of 10420 papers

TitleStatusHype
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark StudyCode1
An Access Control Method with Secret Key for Semantic Segmentation Models0
Constraining Pseudo-label in Self-training Unsupervised Domain Adaptation with Energy-based Model0
Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from A Conditional Causal PerspectiveCode1
Dense Depth Distillation with Out-of-Distribution Simulated Images0
Calibrated Selective ClassificationCode0
Supervised Dimensionality Reduction and Image Classification Utilizing Convolutional AutoencodersCode1
TMIC: App Inventor Extension for the Deployment of Image Classification Models Exported from Teachable Machine0
gSwin: Gated MLP Vision Model with Hierarchical Structure of Shifted Window0
Radial Basis Function Networks for Convolutional Neural Networks to Learn Similarity Distance Metric and Improve InterpretabilityCode0
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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