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 14511460 of 10420 papers

TitleStatusHype
A Survey: Deep Learning for Hyperspectral Image Classification with Few Labeled SamplesCode1
Evolutionary Neural AutoML for Deep LearningCode1
Evolving Attention with Residual ConvolutionsCode1
Learn From Others and Be Yourself in Heterogeneous Federated LearningCode1
CamDiff: Camouflage Image Augmentation via Diffusion ModelCode1
Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image ClassificationCode1
Deep Complex NetworksCode1
Learning Data Augmentation with Online Bilevel Optimization for Image ClassificationCode1
AdaScale SGD: A User-Friendly Algorithm for Distributed TrainingCode1
AutoAssist: A Framework to Accelerate Training of Deep Neural NetworksCode1
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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