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 96269650 of 10420 papers

TitleStatusHype
Adversarial Dropout Regularization0
Real-Time Document Image Classification using Deep CNN and Extreme Learning Machines0
The Achievement of Higher Flexibility in Multiple Choice-based Tests Using Image Classification Techniques0
Structured Generative Adversarial NetworksCode0
Learning with Latent LanguageCode0
Hierarchical Representations for Efficient Architecture SearchCode0
Generating Natural Adversarial ExamplesCode0
Countering Adversarial Images using Input TransformationsCode0
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
InterpNET: Neural Introspection for Interpretable Deep LearningCode0
Deep Neural Networks0
Incomplete Dot Products for Dynamic Computation Scaling in Neural Network Inference0
Classification Driven Dynamic Image Enhancement0
Deep Self-taught Learning for Remote Sensing Image Classification0
Dropout Sampling for Robust Object Detection in Open-Set Conditions0
Enhancing the Performance of Convolutional Neural Networks on Quality Degraded Datasets0
Learning to Learn Image Classifiers with Visual Analogy0
Do Convolutional Neural Networks Learn Class Hierarchy?0
Pushing the envelope in deep visual recognition for mobile platforms0
Entanglement Entropy of Target Functions for Image Classification and Convolutional Neural Network0
Searching for Activation FunctionsCode0
Manifold regularization based on Nyström type subsampling0
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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