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Papers
Daily updated cutting-edge AI research papers to help you keep up with the latest AI trends

Oriented object detection in optical remote sensing images using deep learning: a survey

Locally Linear Image Structural Embedding for Image Structure Manifold Learning































Oriented object detection in optical remote sensing images using deep learning: a survey

Locally Linear Image Structural Embedding for Image Structure Manifold Learning






























3D Lexicons for American Sign Language and Sign Language of the Netherlands
Adoption of AI-Driven Fraud Detection System in the Nigerian Banking Sector: An Analysis of Cost, Compliance, and Competency
Wearing face mask detection using deep learning through COVID-19 pandemic
Convolutional neural network models for cancer type prediction based on gene expression
Unsupervised Lesion Detection via Image Restoration with a Normative Prior
Anomaly and Fraud Detection in Credit Card Transactions Using the ARIMA Model
POLY-CAM: HIGH RESOLUTION CLASS ACTIVATION MAP FOR CONVOLUTIONAL NEURAL NETWORKS
Studying the Plasticity in Deep Convolutional Neural Networks using Random Pruning
Playing with Food: Learning Food Item Representations through Interactive Exploration
Bisimulation and Bisimilarity for Fuzzy Description Logics under the Gödel Semantics
FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks
Feature Based Fuzzy Rule Base Design for Image Extraction
Teaching NLP with Bracelets and Restaurant Menus: An Interactive Workshop for Italian Students
Advancing Explainability in Neural Machine Translation: Analytical Metrics for Attention and Alignment Consistency
The Stability-Efficiency Dilemma: Investigating Sequence Length Warmup for Training GPT Models
Learning Curves for Decision Making in Supervised Machine Learning: A Survey
Predicting Concentration Levels of Air Pollutants by Transfer Learning and Recurrent Neural Network
Phrase-based Image Captioning with Hierarchical LSTM Model
VIDEO LANGUAGE PLANNING
Trivial Transfer Learning for Low-Resource Neural Machine Translation
Towards Unsupervised Automatic Speech Recognition Trained by Unaligned Speech and Text Only
Pedestrian Attribute Recognition: A New Benchmark Dataset and A Large Language Model Augmented Framework
Dhan-Shomadhan: A Dataset of Rice Leaf Disease Classification for Bangladeshi Local Rice
A Quantum Model for Multilayer Perceptron
Imaging through scattering media by exploiting the optical memory effect: a tutorial
Déjà vu: A Contextualized Temporal Attention Mechanism for Sequential Recommendation
Meta Pseudo Labels
Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks
Saliency for Fine-grained Object Recognition in Domains with Scarce Training Data
Emoji Prediction in Tweets using BERT
3D Lexicons for American Sign Language and Sign Language of the Netherlands
Adoption of AI-Driven Fraud Detection System in the Nigerian Banking Sector: An Analysis of Cost, Compliance, and Competency
Wearing face mask detection using deep learning through COVID-19 pandemic
Convolutional neural network models for cancer type prediction based on gene expression
Unsupervised Lesion Detection via Image Restoration with a Normative Prior
Anomaly and Fraud Detection in Credit Card Transactions Using the ARIMA Model
POLY-CAM: HIGH RESOLUTION CLASS ACTIVATION MAP FOR CONVOLUTIONAL NEURAL NETWORKS
Studying the Plasticity in Deep Convolutional Neural Networks using Random Pruning
Playing with Food: Learning Food Item Representations through Interactive Exploration
Bisimulation and Bisimilarity for Fuzzy Description Logics under the Gödel Semantics
FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks
Feature Based Fuzzy Rule Base Design for Image Extraction
Teaching NLP with Bracelets and Restaurant Menus: An Interactive Workshop for Italian Students
Advancing Explainability in Neural Machine Translation: Analytical Metrics for Attention and Alignment Consistency
The Stability-Efficiency Dilemma: Investigating Sequence Length Warmup for Training GPT Models
Learning Curves for Decision Making in Supervised Machine Learning: A Survey
Predicting Concentration Levels of Air Pollutants by Transfer Learning and Recurrent Neural Network
Phrase-based Image Captioning with Hierarchical LSTM Model
VIDEO LANGUAGE PLANNING
Trivial Transfer Learning for Low-Resource Neural Machine Translation
Towards Unsupervised Automatic Speech Recognition Trained by Unaligned Speech and Text Only
Pedestrian Attribute Recognition: A New Benchmark Dataset and A Large Language Model Augmented Framework
Dhan-Shomadhan: A Dataset of Rice Leaf Disease Classification for Bangladeshi Local Rice
A Quantum Model for Multilayer Perceptron
Imaging through scattering media by exploiting the optical memory effect: a tutorial
Déjà vu: A Contextualized Temporal Attention Mechanism for Sequential Recommendation
Meta Pseudo Labels
Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks
Saliency for Fine-grained Object Recognition in Domains with Scarce Training Data
Emoji Prediction in Tweets using BERT