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 29512960 of 10420 papers

TitleStatusHype
Bundle Optimization for Multi-aspect Embedding0
Building Vision Transformers with Hierarchy Aware Feature Aggregation0
A New Ensemble Method for Concessively Targeted Multi-model Attack0
Buildings Detection in VHR SAR Images Using Fully Convolution Neural Networks0
A New Distance Measure for Non-Identical Data with Application to Image Classification0
ADINet: Attribute Driven Incremental Network for Retinal Image Classification0
A Differential Game Theoretic Neural Optimizer for Training Residual Networks0
Building Human-like Communicative Intelligence: A Grounded Perspective0
Building Efficient Lightweight CNN Models0
A New Deep Neural Architecture Search Pipeline for Face Recognition0
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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