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 26512660 of 10420 papers

TitleStatusHype
Deep learning for classification of noisy QR codes0
The importance of feature preprocessing for differentially private linear optimization0
Confidence Estimation Using Unlabeled DataCode0
Class Attention to Regions of Lesion for Imbalanced Medical Image Recognition0
Interpreting and Correcting Medical Image Classification with PIP-NetCode1
Attacking by Aligning: Clean-Label Backdoor Attacks on Object DetectionCode0
What do neural networks learn in image classification? A frequency shortcut perspectiveCode1
Semantic-Aware Dual Contrastive Learning for Multi-label Image ClassificationCode1
As large as it gets: Learning infinitely large Filters via Neural Implicit Functions in the Fourier DomainCode0
Linearized Relative Positional EncodingCode0
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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