Benchmarking Deep Learning Models on Point Cloud Segmentation

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Associació Catalana d'Intelligència Artificial (23. : 2021 : Online) Artificial intelligence research and development
1. Verfasser: Zoumpekas, Thanasis (VerfasserIn)
Weitere Verfasser: Molina, Guillem (VerfasserIn), Salamó, Maria (VerfasserIn), Puig, Anna (VerfasserIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2021
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
Perceptual Maps to Aggregate Information from Decision Makers 2021 Porro, Olga
Exploring Lifted Planning Encodings in Essence Prime 2021 Espasa, Joan
A Common Formal Framework for Factorial and Probabilistic Topic Modelling Techniques 2021 Gibert, Karina
Learning Cognitive-Affective Digital Twins from Social Networks 2021 Navarro, Andrea
Supporting Enrollment in Higher Education Through a Visual Recommendation System 2021 Minguillöón, Juliá
Data-Driven Analysis of Friction Stir Welding for Aerospace Applications 2021 Camps, Marta
Pulse Identification Using SVM 2021 Puyol-Gruart, Josep
Prostate Cancer Delineation in MRI Images Based on Deep Learning: Quantitative Comparison and Promising Perspective 2021 Loussaief, Eddardaa Ben
Segmenting the Optic Disc Using a Deep Learning Ensemble Model Based on OWA Operators 2021 Ali, Mohammed Yousef Salem
Affective State-Based Framework for e-Learning Systems 2021 Rodriguez, Juan Antonio
Grouped Pointwise Convolutions Significantly Reduces Parameters in EfficientNet 2021 Schuler, Joao Paulo Schwarz
Applying and Verifying an Explainability Method Based on Policy Graphs in the Context of Reinforcement Learning 2021 Climent, Antoni
Digital Public Health Technologies and Social Media in Global Emergencies 2021 Kostkova, Patty
Automated Reasoning in Explainable AI 2021 Marques-Silva, Joao
A Customer Churn Detection Model for the Pay-TV Sector 2021 López, Vicente
Combining Simulations and Machine Learning for Efficient Prediction of X Process Parameters Evolution in Injection Moulding 2021 Abio, Albert
Anomaly Detection for Diagnosing Failures in a Centrifugal Compressor Train 2021 Palacin, Jan
Limits of Conventional Machine Learning Methods to Predict Pregnancy and Multiple Pregnancy After Embryo Transfer 2021 Correa, Núria
Validation on Real Data of an Extended Embryo-Uterine Probabilistic Graphical Model for Embryo Selection 2021 Torres-Martin, Adrián
Promising Depth Map Prediction Method from a Single Image Based on Conditional Generative Adversarial Network 2021 Abdulwahab, Saddam
Alle Artikel auflisten