Sökning: "Ansiktsbilder"

Visar resultat 1 - 5 av 13 uppsatser innehållade ordet Ansiktsbilder.

1. 1. Attraktionens påverkan i rekryteringsprocessen : en kvantitativ studie om kognitiva fördomar

   Kandidat-uppsats, Linnéuniversitetet/Institutionen för psykologi (PSY)

   Författare :Sara Bujila; Sophia Eriksson; [2024]
   Nyckelord :Cognitive biases; halo effect; attraction; first impression; recruitment; job suitability; Kognitiva fördomar; haloeffekten; attraktion; första intrycket; rekrytering; job suitability;

   Sammanfattning : The study was based on cognitive biases with the aim of investigating the extent to which the individual's physical appearance affects the hiring process, and whether individuals who are perceived as more attractive are ascribed more positive characteristics. The study was conducted with a quantitative method, where the data collection was done via an online survey with 62 respondents, the majority of whom had previous experience of decision- making in a recruitment context. LÄS MER

3. 2. Text-Driven Fashion Image Manipulation with GANs : A case study in full-body human image manipulation in fashion

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

   Författare :Reza Dadfar; [2023]
   Nyckelord :Multimodal fashion image editing; Generative adversarial network inversion; Text-driven image manipulation; TD-GEM; Multimodal modebildredigering; Generativa adverserial Nätverk inversion; Text-driven bildmanipulation; TD-GEM;

   Sammanfattning : Language-based fashion image editing has promising applications in design, sustainability, and art. However, it is considered a challenging problem in computer vision and graphics. The diversity of human poses and the complexity of clothing shapes and textures make the editing problem difficult. LÄS MER

4. 3. Åldersuppskattning med maskininlärning

   Uppsats för yrkesexamina på grundnivå, Högskolan i Gävle/Avdelningen för datavetenskap och samhällsbyggnad

   Författare :Wissam Rashed; Rawand Alkilani; [2022]
   Nyckelord :Machine Learning; Age estimation; Facial images; Regression; Classification.; Maskininlärning; Åldersuppskattning; Ansiktsbilder; Regression; Klassificering.;

   Sammanfattning : Machine Learning (ML) is a research area in artificial intelligence (AI) and computer science. ML focuses on the use of data and algorithms to identify patterns in data without direct instruction. This is done with the help of ML algorithms that learn to make predictions by finding rules and drawing conclusions based on training data. LÄS MER

5. 4. Random projections in a distributed environment for privacy-preserved deep learning

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

   Författare :Malcolm Bagger Toräng; [2021]
   Nyckelord :Random projections; Generative adversarial networks; Privacy metrics; Deep learning; Obfuscation.; Slumpmässiga projektioner; Generativa kontroversiella nätverk; Privatiserings-mått; Djupinlärning; Obfuskering.;

   Sammanfattning : The field of Deep Learning (DL) only over the last decade has proven useful for increasingly more complex Machine Learning tasks and data, a notable milestone being generative models achieving facial synthesis indistinguishable from real faces. With the increased complexity in DL architecture and training data, follows a steep increase in time and hardware resources required for the training task. LÄS MER

7. 5. Mobile Device Gaze Estimation with Deep Learning : Using Siamese Neural Networks

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

   Författare :Julien Adler; [2019]
   Nyckelord :Siamese Neural Network; GazeCapture; Gaze Estimation; Mobile; Unconstrained; Calibration Points;

   Sammanfattning : Gaze tracking has already shown to be a popular technology for desktop devices. When it comes to gaze tracking for mobile devices, however, there is still a lot of progress to be made. There’s still no high accuracy gaze tracking available that works in an unconstrained setting for mobile devices. LÄS MER