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 24812490 of 10420 papers

TitleStatusHype
Adaptive Classification of Interval-Valued Time Series0
HQViT: Hybrid Quantum Vision Transformer for Image Classification0
LLM-Guided Evolution: An Autonomous Model Optimization for Object Detection0
A Randomized Zeroth-Order Hierarchical Framework for Heterogeneous Federated Learning0
Neural Style Transfer for Synthesising a Dataset of Ancient Egyptian Hieroglyphs0
Deep Ensembling of Multiband Images for Earth Remote Sensing and Foramnifera DataCode0
All Patches Matter, More Patches Better: Enhance AI-Generated Image Detection via Panoptic Patch Learning0
Geometric Median Matching for Robust k-Subset Selection from Noisy Data0
PolygoNet: Leveraging Simplified Polygonal Representation for Effective Image ClassificationCode0
Impact of Data Duplication on Deep Neural Network-Based Image Classifiers: Robust vs. Standard Models0
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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
10RevCol-HTop 1 Accuracy90Unverified