Sökning: "map inference"

Visar resultat 6 - 10 av 36 uppsatser innehållade orden map inference.

1. 6. Object Detection via Contextual Information

   Master-uppsats, Linköpings universitet/Institutionen för systemteknik

   Författare :Lovisa Stålebrink; [2022]
   Nyckelord :computer vision; machine learning; object detection; deep learning; contextual information; transformers; document object detection; datorseende; maskininlärning; objektdetektion; djupinlärning; kontextuell information; transformer; detektering av dokumentobjekt;

   Sammanfattning : Using computer vision to automatically process and understand images is becoming increasingly popular. One frequently used technique in this area is object detection, where the goal is to both localize and classify objects in images. Today's detection models are accurate, but there is still room for improvement. LÄS MER

3. 7. Distilling Multilingual Transformer Models for Efficient Document Retrieval : Distilling multi-Transformer models with distillation losses involving multi-Transformer interactions

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Xuecong Liu; [2022]
   Nyckelord :Dense Passage Retrieval; Knowledge Distillation; Multilingual Transformer; Document Retrieval; Open Domain Question Answering; Tät textavsnittssökning; kunskapsdestillering; flerspråkiga transformatorer; dokumentsökning; domänlöst frågebesvarande;

   Sammanfattning : Open Domain Question Answering (OpenQA) is a task concerning automatically finding answers to a query from a given set of documents. Language-agnostic OpenQA is an increasingly important research area in the globalised world, where the answers can be in a different language from the question. LÄS MER

4. 8. CenterPoint-based 3D Object Detection in ONCE Dataset

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Yuwei Du; [2022]
   Nyckelord :3D Object Detection; Keypoint Detector; Class Balance; Self-Calibrated Convolution; IoU-aware Detector; Box Ensembles; 3D-Objektdetektering; Nyckelpunktsdetektor; Klassbalans; Självkalibrerad Faltning; IoU-medveten Detektor; Boxensembler;

   Sammanfattning : High-efficiency point cloud 3D object detection is important for autonomous driving. 3D object detection based on point cloud data is naturally more complex and difficult than the 2D task based on images. Researchers keep working on improving 3D object detection performance in autonomous driving scenarios recently. LÄS MER

5. 9. Evolutionary Properties of Neural Networks: Exploration of Robustness and Evolvability in the Genotype-Phenotype Map

   Master-uppsats, Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

   Författare :Daesung Cho; [2022]
   Nyckelord :robustness; evolvability; genotype-phenotype map; canalization; Bayesian inference; simulation-based inference; information theory; neural networks; pyloric rhythm; Physics and Astronomy;

   Sammanfattning : Evolution is a fundamental and crucial part of life that hinges on two central properties: robustness and evolvability. Robustness is required to maintain essential traits despite mutations while evolvability produces novel traits that might prove beneficial in survival. LÄS MER

7. 10. Localization For AutonomousDriving using Statistical Filtering : A GPS aided navigation approach with EKF and UKF

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Devrat Singh; [2022]
   Nyckelord :Land Vehicle Localization; Sensor Fusion; GNSS-INS Fusion; UKF; EKF;

   Sammanfattning : A critical requirement for safe autonomous driving is to have an accurate state estimate of thevehicle. One of the most ubiquitous yet reliable ways for this task is through the integrationof the onboard Inertial Navigation System (INS) and the Global Navigation Satellite System(GNSS). LÄS MER