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

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Showing 4601–4650 of 10420 papers

TitleStatusHype
Access Control with Encrypted Feature Maps for Object Detection Models—0
AI-Augmented Thyroid Scintigraphy for Robust Classification—0
Improved Multi-Source Domain Adaptation by Preservation of Factors—0
Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks—0
Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond—0
All-You-Can-Fit 8-Bit Flexible Floating-Point Format for Accurate and Memory-Efficient Inference of Deep Neural Networks—0
Improved Image Classification with Manifold Neural Networks—0
Decoupled Greedy Learning of CNNs for Synchronous and Asynchronous Distributed Learning—0
Automatic Classification of Human Epithelial Type 2 Cell Indirect Immunofluorescence Images using Cell Pyramid Matching—0
All-Transfer Learning for Deep Neural Networks and its Application to Sepsis Classification—0
Decomposition-Based Transfer Distance Metric Learning for Image Classification—0
Improved Image Classification with Token Fusion—0
Improved Robustness of Vision Transformer via PreLayerNorm in Patch Embedding—0
Decomposing Convolutional Neural Networks into Reusable and Replaceable Modules—0
Automatic Classification and Segmentation of Tunnel Cracks Based on Deep Learning and Visual Explanations—0
Improved Deep Neural Network Generalization Using m-Sharpness-Aware Minimization—0
Automatic and Quantitative evaluation of attribute discovery methods—0
Decoding Brain Representations by Multimodal Learning of Neural Activity and Visual Features—0
All-Photonic Artificial Neural Network Processor Via Non-linear Optics—0
Improved EATFormer: A Vision Transformer for Medical Image Classification—0
Decision Tree Learning with Spatial Modal Logics—0
Decision Propagation Networks for Image Classification—0
All Patches Matter, More Patches Better: Enhance AI-Generated Image Detection via Panoptic Patch Learning—0
Access Control Using Spatially Invariant Permutation of Feature Maps for Semantic Segmentation Models—0
Improved Conformer-based End-to-End Speech Recognition Using Neural Architecture Search—0
Improved Few-Shot Image Classification Through Multiple-Choice Questions—0
ImpressLearn: Continual Learning via Combined Task Impressions—0
Representing text as abstract images enables image classifiers to also simultaneously classify text—0
Improved Algorithms for Agnostic Pool-based Active Classification—0
Decision boundaries and convex hulls in the feature space that deep learning functions learn from images—0
Adaptive Adversarial Logits Pairing—0
Importance of the Mathematical Foundations of Machine Learning Methods for Scientific and Engineering Applications—0
Decentralized SGD with Over-the-Air Computation—0
Automated Robustness with Adversarial Training as a Post-Processing Step—0
All-Optical Information Processing Capacity of Diffractive Surfaces—0
Decentralized Federated Learning with Gradient Tracking over Time-Varying Directed Networks—0
Decentralized Federated Learning Over Imperfect Communication Channels—0
Importance of Preprocessing in Histopathology Image Classification Using Deep Convolutional Neural Network—0
Improved Few-Shot Visual Classification—0
Deceiving Image-to-Image Translation Networks for Autonomous Driving with Adversarial Perturbations—0
Deceiving Google's Cloud Video Intelligence API Built for Summarizing Videos—0
Automated Quality Control of Vacuum Insulated Glazing by Convolutional Neural Network Image Classification—0
All-optical image classification through unknown random diffusers using a single-pixel diffractive network—0
Implementation of Deep Neural Networks to Classify EEG Signals using Gramian Angular Summation Field for Epilepsy Diagnosis—0
DebugAgent: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging—0
Let's Agree to Agree: Neural Networks Share Classification Order on Real Datasets—0
Debiasing Classifiers by Amplifying Bias with Latent Diffusion and Large Language Models—0
Automated identification of hookahs (waterpipes) on Instagram: an application in feature extraction using Convolutional Neural Network and Support Vector Machine classification—0
Access Control of Object Detection Models Using Encrypted Feature Maps—0
Implications of Noise in Resistive Memory on Deep Neural Networks for Image Classification—0
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All datasetsImageNetCIFAR-10CIFAR-100STL-10ObjectNetMNISTSVHNiNaturalist 2018ImageNet ReaLFlowers-102Clothing1Mmini WebVision 1.0

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91—Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98—Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94—Unverified
4DaViT-GTop 1 Accuracy90.4—Unverified
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
7SwinV2-GTop 1 Accuracy90.17—Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1—Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05—Unverified
10RevCol-HTop 1 Accuracy90—Unverified