Sökning: "Automatic Labeling"

Visar resultat 1 - 5 av 36 uppsatser innehållade orden Automatic Labeling.

1. 1. Sim2Real: Generating synthetic images from industry CAD models with domain randomization

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Duruo Li; [2023]
   Nyckelord :;

   Sammanfattning : Deep learning methods for computer vision applications require massive visual data for model training. Although it is possible to utilize public datasets such as ImageNet, MS COCO, and CIFAR-100, it becomes problematic when there is a need for more task-specific data when new training data collection typically is needed. LÄS MER

3. 2. Cell Identification from Microscopy Images using Deep Learning on Automatically Labeled Data

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

   Författare :Fredrik Salomon-Sörensen; [2023]
   Nyckelord :Deep Learning; Cell Identification; Image Segmentation; Nuclei Segmentation; Convolutional Neural Networks; UNet; Image Analysis; Microscopy; Noisy Labels; Phase-Contrast; Automatic Labeling; Technology and Engineering;

   Sammanfattning : In biology, cell counting provides a fundamental metric for live-cell experiments. Unfortunately, most researchers are constrained to using tedious and invasive methods for counting cells. Automatic identification of cells in microscopy images would therefore be a valuable tool for such researchers. LÄS MER

4. 3. Monolingual and Cross-Lingual Survey Response Annotation

   Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

   Författare :Yahui Zhao; [2023]
   Nyckelord :transfer learning; zero-shot cross-lingual transfer; model-based transfer; multilingual pre-trained language models; sequence labeling; open-ended questions; democracy;

   Sammanfattning : Multilingual natural language processing (NLP) is increasingly recognized for its potential in processing diverse text-type data, including those from social media, reviews, and technical reports. Multilingual language models like mBERT and XLM-RoBERTa (XLM-R) play a pivotal role in multilingual NLP. LÄS MER

5. 4. Koncept för automatiserad produktmärkning

   Uppsats för yrkesexamina på grundnivå, Umeå universitet/Institutionen för tillämpad fysik och elektronik

   Författare :Axel Byhlin; [2023]
   Nyckelord :automation; laser engraver; hose swivel; indexator; automation; lasergraverare; robotarm; slangsvivel; indexator; produktionsteknik;

   Sammanfattning : Indexator is a world-leading company that develops and manufactures hydraulic rotators and hose swivels. A hose swivel is a hose coupling that can rotate freely around its own axis. During production he hose swivel currently has a semiautomatic marking process, where an operator often must load a laser engraver. LÄS MER

7. 5. Self-Supervised Fine-Tuning of sentence embedding models using a Smooth Inverse Frequency model : Automatic creation of labels with Smooth Inverse Frequency model

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

   Författare :Vittorio Pellegrini; [2023]
   Nyckelord :Natural Language Processing; sentence embeddings; Transformer-based architectures; sentence paraphrasing; sentence similarity; sentence clustering; Naturlig språkbehandling; inbäddning av meningar; transformatorbaserade arkitekturer; parafrasering av meningar; meningslikhet; klustring av meningar Canvas Lärplattform; Dockerbehållare; Prestandajustering;

   Sammanfattning : Sentence embedding models play a key role in the field of Natural Language Processing. They can be exploited for the resolution of several tasks like sentence paraphrasing, sentence similarity, and sentence clustering. LÄS MER