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 26812690 of 10420 papers

TitleStatusHype
Improving Pre-Trained Weights Through Meta-Heuristics Fine-TuningCode0
Improving Random-Sampling Neural Architecture Search by Evolving the Proxy Search SpaceCode0
A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasetsCode0
An In-Depth Analysis of Adversarial Discriminative Domain Adaptation for Digit ClassificationCode0
Can a Confident Prior Replace a Cold Posterior?Code0
3D Wavelet Convolutions with Extended Receptive Fields for Hyperspectral Image ClassificationCode0
Improving Pairwise Ranking for Multi-label Image ClassificationCode0
CAMP: Continuous and Adaptive Learning Model in PathologyCode0
Improving Neural Architecture Search Image Classifiers via Ensemble LearningCode0
An Improvement of Data Classification Using Random Multimodel Deep Learning (RMDL)Code0
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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