Essays about: "Temporal Coherence"
Showing result 1 - 5 of 17 essays containing the words Temporal Coherence.
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1. Real-Time Video Super-Resolution : A Comparative Study of Interpolation and Deep Learning Approaches to Upsampling Real-Time Video
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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2. Safety-Oriented Task Offloading for Human-Robot Collaboration : A Learning-Based Approach
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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3. Effects of drought on waterchemistry in a boreal streamnetwork
University essay from Umeå universitet/Institutionen för ekologi, miljö och geovetenskapAbstract : 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. READ MORE
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4. Forecasting with deep temporal hierarchies : A novel way for forecasting with temporal hierarchies based on deep learning models
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : 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. READ MORE
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5. Deep Learning based Video Super- Resolution in Computer Generated Graphics
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE