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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 7451–7500 of 10420 papers

TitleStatusHype
Interactive Knowledge Distillation—0
Pooling Revisited: Your Receptive Field is Suboptimal—0
Pooling the Convolutional Layers in Deep ConvNets for Action Recognition—0
Asynchronous Decentralized SGD with Quantized and Local Updates—0
Improved and Explainable Cervical Cancer Classification using Ensemble Pooling of Block Fused Descriptors—0
Portmanteau Vocabularies for Multi-Cue Image Representation—0
Portuguese Man-of-War Image Classification with Convolutional Neural Networks—0
Pose Guided Attention for Multi-label Fashion Image Classification—0
Deep Learning Classification With Noisy Labels—0
BadNL: Backdoor Attacks against NLP Models with Semantic-preserving Improvements—0
Adaptive Fine-Grained Predicates Learning for Scene Graph Generation—0
Positive-Congruent Training: Towards Regression-Free Model Updates—0
ACDC: Weight Sharing in Atom-Coefficient Decomposed Convolution—0
Post-hoc Calibration of Neural Networks by g-Layers—0
Interaction as Explanation: A User Interaction-based Method for Explaining Image Classification Models—0
Deep Learning Benchmarks and Datasets for Social Media Image Classification for Disaster Response—0
Post-variational quantum neural networks—0
Potential of Domain Adaptation in Machine Learning in Ecology and Hydrology to Improve Model Extrapolability—0
Intelligent Known and Novel Aircraft Recognition -- A Shift from Classification to Similarity Learning for Combat Identification—0
Deep learning based prediction of Alzheimer's disease from magnetic resonance images—0
Intelligent Cervical Spine Fracture Detection Using Deep Learning Methods—0
Integration of Roadside Camera Images and Weather Data for Monitoring Winter Road Surface Conditions—0
Deep Learning based Multi-Label Image Classification of Protest Activities—0
PPT Fusion: Pyramid Patch Transformerfor a Case Study in Image Fusion—0
Integration and Performance Analysis of Artificial Intelligence and Computer Vision Based on Deep Learning Algorithms—0
Integrating Scene Text and Visual Appearance for Fine-Grained Image Classification—0
Deep Learning based HEp-2 Image Classification: A Comprehensive Review—0
SABLE: Secure And Byzantine robust LEarning—0
Backpropagation-free Training of Deep Physical Neural Networks—0
AMLA: an AutoML frAmework for Neural Network Design—0
Integrating Propositional and Relational Label Side Information for Hierarchical Zero-Shot Image Classification—0
Deep Learning based CNN Model for Classification and Detection of Individuals Wearing Face Mask—0
GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation—0
Pragmatist Intelligence: Where the Principle of Usefulness Can Take ANNs—0
Integrated perception with recurrent multi-task neural networks—0
Deep Learning Based Classification System For Recognizing Local Spinach—0
Instruction-ViT: Multi-Modal Prompts for Instruction Learning in ViT—0
Institutionally Distributed Deep Learning Networks—0
ParasNet: Fast Parasites Detection with Neural Networks—0
Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution—0
Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing—0
Predicting Out-of-Domain Generalization with Neighborhood Invariance—0
Predicting Stock Price Movement as an Image Classification Problem—0
Predicting the outputs of finite deep neural networks trained with noisy gradients—0
Amicable Aid: Perturbing Images to Improve Classification Performance—0
Predicting the Reliability of an Image Classifier under Image Distortion—0
Instant Adversarial Purification with Adversarial Consistency Distillation—0
Predicting Useful Neighborhoods for Lazy Local Learning—0
Deep Learning-based automated classification of Chinese Speech Sound Disorders—0
Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation—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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 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