Sökning: "image scene"
Visar resultat 1 - 5 av 192 uppsatser innehållade orden image scene.
1. Mutual Enhancement of Environment Recognition and Semantic Segmentation in Indoor Environment
Master-uppsats,Sammanfattning : Background:The dynamic field of computer vision and artificial intelligence has continually evolved, pushing the boundaries in areas like semantic segmentation andenvironmental recognition, pivotal for indoor scene analysis. This research investigates the integration of these two technologies, examining their synergy and implicayions for enhancing indoor scene understanding. LÄS MER
2. ISAR Imaging Enhancement Without High-Resolution Ground Truth
Master-uppsats, Linköpings universitet/DatorseendeSammanfattning : In synthetic aperture radar (SAR) and inverse synthetic aperture radar (ISAR), an imaging radar emits electromagnetic waves of varying frequencies towards a target and the backscattered waves are collected. By either moving the radar antenna or rotating the target and combining the collected waves, a much longer synthetic aperture can be created. LÄS MER
3. CSR in Finnish Football
Magister-uppsats, Malmö universitet/Institutionen Idrottsvetenskap (IDV)Sammanfattning : Corporate social responsibility (CSR) has become a prevalent topic in the world of sports. The term has only recently been introduced to the Finnish football scene, thus making it a relatively new concept to be utilized. It has been argued that football clubs in Finland have varied motivation and participation rates in terms of CSR. LÄS MER
4. Hybrid Deep Learning approach for Lane Detection : Combining convolutional and transformer networks with a post-processing temporal information mechanism, for efficient road lane detection on a road image scene
Master-uppsats, Jönköping University/Jönköping AI Lab (JAIL)Sammanfattning : Lane detection is a crucial task in the field of autonomous driving and advanced driver assistance systems. In recent years, convolutional neural networks (CNNs) have been the primary approach for solving this problem. LÄS MER
5. Anomaly Detection with Machine Learning using CLIP in a Video Surveillance Context
Master-uppsats, Linköpings universitet/DatorseendeSammanfattning : This thesis explores the application of Contrastive Language-Image Pre-Training (CLIP), a vision-language model, in an automated video surveillance system for anomaly detection. The ability of CLIP to perform zero-shot learning, coupled with its robustness against minor image alterations due to its lack of reliance on pixel-level image analysis, makes it a suitable candidate for this application. LÄS MER