Essays about: "triplet loss"
Showing result 1 - 5 of 19 essays containing the words triplet loss.
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1. Using Machine Learning to Optimize Near-Earth Object Sighting Data at the Golden Ears Observatory
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This research project focuses on improving Near-Earth Object (NEO) detection using advanced machine learning techniques, particularly Vision Transformers (ViTs). The study addresses challenges such as noise, limited data, and class imbalance. READ MORE
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2. Image generation through feature extraction and learning using a deep learning approach
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : With recent advancements, image generation has become more and more possible with the introduction of stronger generative artificial intelligence (AI) models. The idea and ability of generating non-existing images that highly resemble real world images is interesting for many use cases. READ MORE
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3. Multi-modal Models for Product Similarity : Comparative evaluation of unimodal and multi-modal architectures for product similarity prediction and product retrieval
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With the rapid growth of e-commerce, enabling effective product recommendation systems and improving product search for shoppers plays a crucial role in driving customer satisfaction. Traditional product retrieval approaches have mainly relied on unimodal models focusing on text data. READ MORE
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4. Enhancing person re-identification: leveraging DensePose for improving occlusion handling and generalization
University essay from Lunds universitet/Matematik LTHAbstract : In this master’s thesis we propose a DensePose-based person re-identification (re-ID) machine learning algorithm building upon previous research on this topic. DensePose, a deep neural network that performs human body part segmentation on images, forms the foundation of our approach. READ MORE
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5. GPS-Free UAV Geo-Localization Using a Reference 3D Database
University essay from Linköpings universitet/Institutionen för systemteknikAbstract : The goal of this thesis has been global geolocalization using only visual input and a 3D database for reference. In recent years Convolutional Neural Networks (CNNs) have seen huge success in the task of classifying images. The flattened tensors at the final layers of a CNN can be viewed as vectors describing different input image features. READ MORE