Ara
Toplam kayıt 29, listelenen: 21-29
Monocular Depth Estimation with Self-Supervised Representation Learning
(Fen Bilimleri Enstitüsü, 2022)
Many representation and modalities are developed for better scene understanding as images, videos, point clouds, etc. In this thesis, we intentionally characterize scene representation as depth maps in order to leverage ...
Recognizing Human Actions from Images with Attention Mechanism
(Fen Bilimleri Enstitüsü, 2022-05)
Human action recognition in still images is a challenging problem due to the lack of complete motion compared to videos. A single snippet of the ongoing action does not compete with the rich information provided by a video. ...
Actıon Qualıty Assessment Wıth Multıvarıate Tıme Serıes
(Fen Bilimleri Enstitüsü, 2022)
Action quality assessment using computerized methods is considered to be a promising direction in objective evaluation of actions in several domains including health, sport and education. In a typical architecture for ...
Model Robustness in Data-Scarce Regimes and the Effect of Frequency Perturbations
(Fen Bilimleri Enstitüsü, 2022)
The last decade has witnessed the meteoric rise of data-driven methods, which has been elevated to new heights thanks to the availability of powerful hardware and abundant data. Despite their swift ascension, deep learning ...
Comparative Study on Music Source Separation Methods
(Fen Bilimleri Enstitüsü, 2022)
Blind source separation is the concept that separates the source signals from the mixture signal. "Blind" means no prior knowledge of the source or the mixing environment. The blind source separation problem is a problem ...
An End-To-End Convolutional Neural Network Framework For Low-Resolution Attribute Recognition
(Fen Bilimleri Enstitüsü, 2022)
In video surveillance, visual person attributes such as gender, backpack, and type of clothing are crucial for searching and re-identification. For detecting and retrieving these attributes with high accuracy, the availability ...
Neural Semantİc Parsİng, Annotation and Evaluation for Turkish
(Fen Bilimleri Enstitüsü, 2022-12-13)
Semantic representation is a way of expressing the meaning of a text that can be processed by a machine to serve a particular natural language processing (NLP) task. Universal Conceptual Cognitive Annotation (UCCA) is one ...
Developing A Turkish Sentiment Lexicon Using Tone Distributions
(Fen Bilimleri Enstitüsü, 2022)
With the developing technology and increasing use of the internet, many sources of data have been exposed to researchers. Analysis and extraction of meaningful information from this data is a research topic under the field ...
Generating Illustrations for Children Books Using Generative Adversarial Networks
(Fen Bilimleri Enstitüsü, 2022)
This thesis presents a very first method to create children illustration book images. Our method takes edge maps or sketches as input and generates images and/or videos stylized by the selected illustrator. To achieve this, ...