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 16811690 of 10420 papers

TitleStatusHype
The Need for Speed: Pruning Transformers with One RecipeCode1
PlainMamba: Improving Non-Hierarchical Mamba in Visual RecognitionCode3
Histogram Layers for Neural Engineered FeaturesCode0
Enhancing Neural Network Representations with Prior Knowledge-Based NormalizationCode0
Task2Box: Box Embeddings for Modeling Asymmetric Task RelationshipsCode0
DeepGleason: a System for Automated Gleason Grading of Prostate Cancer using Deep Neural NetworksCode1
Assessing the Performance of Deep Learning for Automated Gleason Grading in Prostate Cancer0
CBGT-Net: A Neuromimetic Architecture for Robust Classification of Streaming DataCode0
Leveraging Deep Learning and Xception Architecture for High-Accuracy MRI Classification in Alzheimer Diagnosis0
Multi-Task Learning with Multi-Task Optimization0
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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