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 35713580 of 10420 papers

TitleStatusHype
Classification-Driven Dynamic Image Enhancement0
Enhanced Object Detection via Fusion With Prior Beliefs from Image Classification0
Developing Convolutional Neural Networks using a Novel Lamarckian Co-Evolutionary Algorithm0
Enhanced Prototypical Part Network (EPPNet) For Explainable Image Classification Via Prototypes0
Developing a Recommendation Benchmark for MLPerf Training and Inference0
Classification for everyone : Building geography agnostic models for fairer recognition0
DetNet: Design Backbone for Object Detection0
Anticipating Future Object Compositions without Forgetting0
Dual-Activated Lightweight Attention ResNet50 for Automatic Histopathology Breast Cancer Image Classification0
Bias mitigation techniques in image classification: fair machine learning in human heritage collections0
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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