Sökning: "Temporal Coherence"

Visar resultat 1 - 5 av 18 uppsatser innehållade orden Temporal Coherence.

  1. 1. Real-Time Video Super-Resolution : A Comparative Study of Interpolation and Deep Learning Approaches to Upsampling Real-Time Video

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

    Författare :Erik Båvenstrand; [2021]
    Nyckelord :Super-Resolution; Real-Time; Deep Learning; Upsampling; Computer Vision; Machine Learning; Motion Compensation; Temporal Coherence; Superupplösning; Realtid; Djupinlärning; Uppsampling; Datorseende; Maskininlärning; Rörelsekompensation; Temporalt Sammanhängande;

    Sammanfattning : Super-resolution is a subfield of computer vision centered around upsampling low-resolution images to a corresponding high-resolution counterpart. This degree project investigates the suitability of a deep learning method for real-time video super-resolution. LÄS MER

  3. 2. Safety-Oriented Task Offloading for Human-Robot Collaboration : A Learning-Based Approach

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

    Författare :Franco Ruggeri; [2021]
    Nyckelord :Human-Robot Collaboration; Multi-access Edge Computing; Task Offloading; Artificial Intelligence; Reinforcement Learning; Människa-robotkollaboration; Multi-access Edge Computing; Uppgiftsavlastning; Artificiell intelligens; Reinforcement Learning;

    Sammanfattning : In Human-Robot Collaboration scenarios, safety must be ensured by a risk management process that requires the execution of computationally expensive perception models (e.g., based on computer vision) in real-time. However, robots usually have constrained hardware resources that hinder timely responses, resulting in unsafe operations. LÄS MER

  4. 3. Effects of drought on waterchemistry in a boreal streamnetwork

    Kandidat-uppsats, Umeå universitet/Institutionen för ekologi, miljö och geovetenskap

    Författare :Enrique Gómez de Salazar Martínez; [2021]
    Nyckelord :: drought; boreal streams; Krycklan Catchment Study; land cover; biogeochemistry;

    Sammanfattning : Hydrological drought at high latitudes represents a rising environmental hazard induced byglobal climate change. Yet, we still know little about how drought events influence thebiogeochemistry of boreal streams. LÄS MER

  5. 4. Forecasting with deep temporal hierarchies : A novel way for forecasting with temporal hierarchies based on deep learning models

    Master-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

    Författare :Filotas Theodosiou; [2021]
    Nyckelord :Forecasting; temporal hierarchies; forecast reconciliation; hierarchical forecasting; machine learning; deep learning;

    Sammanfattning : Temporal hierarchies are being increasingly used for forecasting purposes over the past years. They have been shown to produce accurate and coherent forecasts which are beneficial for enterprises. Reconciling forecasts of different aggregation levels to achieve coherence, supports aligned decisions between different organizational levels. LÄS MER

  7. 5. Deep Learning based Video Super- Resolution in Computer Generated Graphics

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

    Författare :Vinit Jain; [2020]
    Nyckelord :Deep Learning; Convolutional Neural Networks; Video Super-Resolution; Computer Generated Graphics; Gaming.; Deep Learning; Convolutional Neural Networks; Video Super-Resolution; Computer Generated Graphics; Gaming.;

    Sammanfattning : Super-Resolution is a widely studied problem in the field of computer vision, where the purpose is to increase the resolution of, or super-resolve, image data. In Video Super-Resolution, maintaining temporal coherence for consecutive video frames requires fusing information from multiple frames to super-resolve one frame. LÄS MER