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 31613170 of 10420 papers

TitleStatusHype
Block-term Tensor Neural Networks0
Do Convnets Learn Correspondence?0
Do Convolutional Neural Networks Learn Class Hierarchy?0
Document AI: Benchmarks, Models and Applications0
An Efficient Technique for Image Captioning using Deep Neural Network0
Document image classification, with a specific view on applications of patent images0
Explicitly Modeled Attention Maps for Image Classification0
DiSa: Directional Saliency-Aware Prompt Learning for Generalizable Vision-Language Models0
Increasing Depth Leads to U-Shaped Test Risk in Over-parameterized Convolutional Networks0
Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations0
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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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified