Essays about: "two-stage neural network"

Showing result 1 - 5 of 6 essays containing the words two-stage neural network.

  1. 1. Dynamic Object Removal for Point Cloud Map Creation in Autonomous Driving : Enhancing Map Accuracy via Two-Stage Offline Model

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Weikai Zhou; [2023]
    Keywords : Autonomous driving; Dynamic object removal; Map creation; 3D point cloud; Autonom körning; Dynamiska objekt borttagning; Skapande av kartor; 3D-punktmoln;

    Abstract : Autonomous driving is an emerging area that has been receiving an increasing amount of interest from different companies and researchers. 3D point cloud map is a significant foundation of autonomous driving as it provides essential information for localization and environment perception. READ MORE

  2. 2. Pruning a Single-Shot Detector for Faster Inference : A Comparison of Two Pruning Approaches

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Karl Beckman; [2022]
    Keywords : Computer Vision; Object Detection; Single-Shot Detector; SSD-MobileNetV2; Iterative Pruning; Datorseende; Objektdetektering; Enstegsdetektor; SDD-MobileNet-V2; Iterativ Beskärning;

    Abstract : Modern state-of-the-art object detection models are based on convolutional neural networks and can be divided into single-shot detectors and two-stage detectors. Two-stage detectors exhibit impressive detection performance but their complex pipelines make them slow. READ MORE

  3. 3. Image inpainting methods for elimination of non-anatomical objects in medical images

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Andrea Lorenzo Polo; [2021]
    Keywords : Medical Imaging; Tumor Ablation; Inpainting; U-Net; Convolutional Neural Network;

    Abstract : This project studies the removal of non-anatomical objects from medical images. During tumor ablation procedures, the ablation probes appear in the image, hindering the performance of segmentation, registration, and dose computation algorithms. These algorithms can also be affected by artifacts and noise generated by body implants. READ MORE

  4. 4. Scar detection using deep neural networks

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Christina Sunnegårdh; [2021]
    Keywords : ;

    Abstract : Object detection is a computer vision method that deals with the tasks of localizing and classifying objects within an image. The number of usages for the method is constantly growing, and this thesis investigates the unexplored area of using deep neural networks for scar detection. READ MORE

  5. 5. Automatic Music Recommendation for Businesses : Using a two-stage Membership model for track recommendation

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Svante Haapanen Rollenhagen; [2021]
    Keywords : Deep Learning; Music Recommendation; Recommendation Systems; Music Informatics.; Djupinlärning; Musikrekommendation; Rekommendationssystem; Musikinformatik.;

    Abstract : This thesis proposes a two-stage recommendation system for providing music recommendations based on seed playlists as inputs. The goal is to help businesses find relevant and brand-fit music to play in their venues. READ MORE