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 37513760 of 10420 papers

TitleStatusHype
ExMobileViT: Lightweight Classifier Extension for Mobile Vision Transformer0
Adversarial Learning of Label Dependency: A Novel Framework for Multi-class Classification0
Detecting Overfitting via Adversarial Examples0
ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks0
An Analysis of Pre-Training on Object Detection0
Cluster-Guided Semi-Supervised Domain Adaptation for Imbalanced Medical Image Classification0
Experimental Observations of the Topology of Convolutional Neural Network Activations0
clustering an african hairstyle dataset using pca and k-means0
AdaScale SGD: A Scale-Invariant Algorithm for Distributed Training0
Detecting Novelties with Empty Classes0
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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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified