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 95519575 of 10420 papers

TitleStatusHype
Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy0
AOGNets: Compositional Grammatical Architectures for Deep LearningCode0
Spectral-spatial classification of hyperspectral images: three tricks and a new supervised learning settingCode0
Saliency-based Sequential Image Attention with Multiset Prediction0
Decoupled Weight Decay RegularizationCode1
All-Transfer Learning for Deep Neural Networks and its Application to Sepsis Classification0
Provably efficient neural network representation for image classification0
Multi-label Image Recognition by Recurrently Discovering Attentional Regions0
SIMILARnet: Simultaneous Intelligent Localization and Recognition NetworkCode0
Cortical microcircuits as gated-recurrent neural networks0
Artificial Generation of Big Data for Improving Image Classification: A Generative Adversarial Network Approach on SAR DataCode0
HyperNetworks with statistical filtering for defending adversarial examples0
Mitigating Adversarial Effects Through RandomizationCode0
Adversarial Dropout Regularization0
Real-Time Document Image Classification using Deep CNN and Extreme Learning Machines0
Structured Generative Adversarial NetworksCode0
The Achievement of Higher Flexibility in Multiple Choice-based Tests Using Image Classification Techniques0
Learning with Latent LanguageCode0
Hierarchical Representations for Efficient Architecture SearchCode0
Countering Adversarial Images using Input TransformationsCode0
Generating Natural Adversarial ExamplesCode0
Conditional Variance Penalties and Domain Shift RobustnessCode0
Evolving Deep Convolutional Neural Networks for Image ClassificationCode0
A Supervised STDP-based Training Algorithm for Living Neural Networks0
Multi-level Residual Networks from Dynamical Systems View0
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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