Sökning: "Vision Boards"
Visar resultat 1 - 5 av 25 uppsatser innehållade orden Vision Boards.
1. Evaluation of deep learning methods for industrial automation
Master-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : The rise and adaptation of the transformer architecture from natural language processing to visual tasks have proven a useful and powerful tool. Subsequent architectures such as visual transformers (ViT) and shifting window (SWIN) transformers have proven to be comparable and oftentimes exceed convolutional neural networks (CNNs) in terms of accuracy. LÄS MER
2. Manifesting That Dream : A Qualitative Study of Vision Boards
Magister-uppsats, Malmö universitet/Institutionen för konst, kultur och kommunikation (K3)Sammanfattning : This paper investigates the phenomenon of digital vision boards on the platform Landing, focusing on their alignment with postfeminist media culture and the empowerment narratives of neoliberal principles. Through a discourse analysis of vision boards and user interviews, the study explores the values and behaviours within this digital subculture. LÄS MER
3. Heart- and Sapwood Segmentation on Hyperspectral Images using Deep Learning
Master-uppsats, Linköpings universitet/Institutionen för systemteknikSammanfattning : For manufacturers in the wood industry, an important way to make the production more effective is to automate the process of detecting defects and different attributes on boards. One important attribute on most boards is heartwood and sapwood. LÄS MER
4. Instance Segmentation for Printed Circuit Board (PCB) Component Analysis : Exploring CNNs and Transformers for Component Detection on Printed Circuit Boards
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In the intricate domain of Printed Circuit Boards (PCBs), object detection poses unique challenges, particularly given the broad size spectrum of components, ranging from a mere 2 pixels to several thousand pixels within a single high-resolution image, often averaging 4000x3000 pixels. Such resolutions are atypical in the realm of deep learning for computer vision, making the task even more demanding. LÄS MER
5. Real-time Counting Of People In Public Spaces
Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Sammanfattning : Real-time people counting is a beneficial system that covers many levels of use cases. It can help keep track of the number of people entering buildings, buses, stores, and other facilities. LÄS MER