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 751760 of 10419 papers

TitleStatusHype
Overcoming label shift in targeted federated learning0
Judge Like a Real Doctor: Dual Teacher Sample Consistency Framework for Semi-supervised Medical Image Classification0
ADOPT: Modified Adam Can Converge with Any β_2 with the Optimal RateCode3
Domain Expansion and Boundary Growth for Open-Set Single-Source Domain Generalization0
TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives0
FUSECAPS: Investigating Feature Fusion Based Framework for Capsule Endoscopy Image Classification0
Exploiting Contextual Uncertainty of Visual Data for Efficient Training of Deep Models0
Undermining Image and Text Classification Algorithms Using Adversarial Attacks0
ParseCaps: An Interpretable Parsing Capsule Network for Medical Image Diagnosis0
Efficient Deep Learning Infrastructures for Embedded Computing Systems: A Comprehensive Survey and Future Envision0
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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