Essays about: "translation technique"
Showing result 1 - 5 of 24 essays containing the words translation technique.
-
1. Round-Trip Translation : A New Path for Automatic Program Repair using Large Language Models
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Research shows that grammatical mistakes in a sentence can be corrected by machine translating it to another language and back. We investigate whether this correction capability of Large Language Models (LLMs) extends to Automatic Program Repair (APR), a software engineering task. READ MORE
-
2. Through the Blur with Deep Learning : A Comparative Study Assessing Robustness in Visual Odometry Techniques
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : In this thesis, the robustness of deep learning techniques in the field of visual odometry is investigated, with a specific focus on the impact of motion blur. A comparative study is conducted, evaluating the performance of state-of-the-art deep convolutional neural network methods, namely DF-VO and DytanVO, against ORB-SLAM3, a well-established non-deep-learning technique for visual simultaneous localization and mapping. READ MORE
-
3. Style Transfer Paraphrasing for Consistency Training in Sentiment Classification
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Text data is easy to retrieve but often expensive to classify, which is why labeled textual data is a resource often lacking in quantity. However, the use of labeled data is crucial in supervised tasks such as text classification, but semi-supervised learning algorithms have shown that the use of unlabeled data during training has the potential to improve model performance, even in comparison to a fully supervised setting. READ MORE
-
4. Unsupervised Image-to-image translation : Taking inspiration from human perception
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : Generative Artificial Intelligence is a field of artificial intelligence where systems can learn underlying patterns in previously seen content and generate new content. This thesis explores a generative artificial intelligence technique used for image-toimage translations called Cycle-consistent Adversarial network (CycleGAN), which can translate images from one domain into another. READ MORE
-
5. Disocclusion Inpainting using Generative Adversarial Networks
University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologiAbstract : The old methods used for images inpainting of the Depth Image Based Rendering (DIBR) process are inefficient in producing high-quality virtual views from captured data. From the viewpoint of the original image, the generated data’s structure seems less distorted in the virtual view obtained by translation but when then the virtual view involves rotation, gaps and missing spaces become visible in the DIBR generated data. READ MORE