Essays about: "Siamese neural network"

Showing result 1 - 5 of 18 essays containing the words Siamese neural network.

1. 1. Deep neural networks for food waste analysis and classification : Subtraction-based methods for the case of data scarcity

   University essay from Uppsala universitet/Signaler och system

   Author : David Brunell; [2022]
   Keywords : Siamese network; convolutional neural network;

   Abstract : Machine learning generally requires large amounts of data, however data is often limited. On the whole the amount of data needed grows with the complexity of the problem to be solved. Utilising transfer learning, data augmentation and problem reduction, acceptable performance can be achieved with limited data for a multitude of tasks. READ MORE

3. 2. Duplicate detection of multimodal and domain-specific trouble reports when having few samples : An evaluation of models using natural language processing, machine learning, and Siamese networks pre-trained on automatically labeled data

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Viktor Karlstrand; [2022]
   Keywords : Duplicate detection; Bug reports; Trouble reports; Natural language processing; Information retrieval; Machine learning; Siamese neural network; Transformers; Automated data labeling; Shapley values; Dubblettdetektering; Felrapporter; Buggrapporter; Naturlig språkbehandling; Informationssökning; Maskininlärning; Siamesiska neurala nätverk; Transformatorer; Automatiserad datamärkning; Shapley-värden;

   Abstract : Trouble and bug reports are essential in software maintenance and for identifying faults—a challenging and time-consuming task. In cases when the fault and reports are similar or identical to previous and already resolved ones, the effort can be reduced significantly making the prospect of automatically detecting duplicates very compelling. READ MORE

4. 3. VTG-Fusion : A GAN-ViT-Based Infrared and Visible ImageFusion Method

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Geng Jiaqi; [2022]
   Keywords : Infrared and visible image fusion; deep learning; Generative adversarial network; Transformer; Infraröd och synlig bildfusion; djupinlärning; GAN; Transformator;

   Abstract : Infrared and visible image fusion targets generating one image with texture details from visible images and highlighted objects from the infrared images. It has been widely used in object recognition and object detection. READ MORE

5. 4. Defect classification in LPBF images using semi-supervised learning

   University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013); Karlstads universitet/Avdelningen för datavetenskap

   Author : Anton Göransson; [2022]
   Keywords : Additive manufacturing; Laser powder bed fusion; Machine learning; Siamese neural networks; Deep learning; Defect classification;

   Abstract : Laser powder bed fusion is an additive manufacturing technique that is capable of building metallic parts by spreading many layers of metal powder over a build surface and using a laser to melt specific sections of the surface. The part is built by melting consecutive layers on top of each other until the design is completed. READ MORE

6. 5. Voice Feature Extraction Using Siamese Neural Networks for Detecting Impersonators

   University essay from Lunds universitet/Matematisk statistik

   Author : Marlon Almström; Thi Thu Hòa Trân; [2022]
   Keywords : deep learning; voice impersonation; audio feature extraction; siamese neural networks; Mathematics and Statistics;

   Abstract : Voice impersonation is a technique that has often been used by criminals whose goal is to avoid being identified while committing a crime. There are, however, other interesting cases where the police confronts a suspect with an incriminating recording, and the suspect would deny being the true speaker in that recording, and claim that it belonged to an expert impersonator. READ MORE