Sökning: "Multimodal Retrieval"
Visar resultat 1 - 5 av 6 uppsatser innehållade orden Multimodal Retrieval.
1. Multi-modal Models for Product Similarity : Comparative evaluation of unimodal and multi-modal architectures for product similarity prediction and product retrieval
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : 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. LÄS MER
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
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : 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. LÄS MER
3. News article segmentation using multimodal input : Using Mask R-CNN and sentence transformers
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In this century and the last, serious efforts have been made to digitize the content housed by libraries across the world. In order to open up these volumes to content-based information retrieval, independent elements such as headlines, body text, bylines, images and captions ideally need to be connected semantically as article-level units. LÄS MER
4. Automated Image Suggestions for News Articles : An Evaluation of Text and Image Representations in an Image Retrieval System
Master-uppsats, Linköpings universitet/Interaktiva och kognitiva systemSammanfattning : Multimodal machine learning is a subfield of machine learning that aims to relate data from different modalities, such as texts and images. One of the many applications that could be built upon this technique is an image retrieval system that, given a text query, retrieves suitable images from a database. LÄS MER
5. Freight value of time : An exploratory study for modelling freight.
Master-uppsats, KTH/Trafik och logistikSammanfattning : The main purpose of this project was to examine the reliability of Value of Time for freight applications by comparing the functionality of the Freight Value of Time modelling concept, with the functionality of the freight market. The research questions of this report are: How can the Freight Value of Time concept fulfil the requirements that decision makers in international freight have on the reliability of the modelling outcome? What are the differences between the multimodal and the unimodal applications of Value of Time in terms of validity? Within the scope of this study; modelling in the field of freight, logistics and supply chain management are presented with focus on Value of Time models. LÄS MER
