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 40214030 of 10420 papers

TitleStatusHype
DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination0
Net2Brain: A Toolbox to compare artificial vision models with human brain responsesCode1
Effectiveness of Function Matching in Driving Scene Recognition0
Exploring Adversarial Robustness of Vision Transformers in the Spectral PerspectiveCode0
Improved Image Classification with Token Fusion0
Test-time Training for Data-efficient UCDRCode0
Local Low-Rank Approximation With Superpixel-Guided Locality Preserving Graph for Hyperspectral Image ClassificationCode0
Resisting Adversarial Attacks in Deep Neural Networks using Diverse Decision Boundaries0
Quantifying the Knowledge in a DNN to Explain Knowledge Distillation for Classification0
Conviformers: Convolutionally guided Vision TransformerCode0
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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