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 38713880 of 10420 papers

TitleStatusHype
An In-depth Study of Stochastic BackpropagationCode1
Identify ambiguous tasks combining crowdsourced labels by weighting Areas Under the Margin0
Momentum Tracking: Momentum Acceleration for Decentralized Deep Learning on Heterogeneous Data0
A Novel Explainable Out-of-Distribution Detection Approach for Spiking Neural NetworksCode0
Semi-Supervised Single-View 3D Reconstruction via Prototype Shape PriorsCode1
Towards a Unified View of Affinity-Based Knowledge Distillation0
MobileViTv3: Mobile-Friendly Vision Transformer with Simple and Effective Fusion of Local, Global and Input FeaturesCode2
Tuning of Mixture-of-Experts Mixed-Precision Neural Networks0
Automatic Data Augmentation via Invariance-Constrained LearningCode0
Spikformer: When Spiking Neural Network Meets TransformerCode2
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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