- vision
- language
- time series
- multimodal
- embedded
- internship
- thesis
•
•
•
•
•
•
-
Enhancing Artwork Recognition through Attribute-Supervised Contrastive Learning
Developing a Supervised Contrastive Learning approach for artwork image datasets, leveraging artworks' metadata attributes, to enhance performances on the Artwork Instance Recognition task.
-
Enhancing Multimodal RAG Systems through Cross-Modal Retrieval and Reranking
This thesis involves the implementation of a cross-modal retrieval and reranking pipeline.
-
Machine Learning-Based Corn Yield Forecasting Using Meteorological and Agronomic Data
Develop a machine learning algorithm able to forecast the expected yield at the end of the season by analising weather data and field management data.
-
Development of a PyTorch-Based Framework for Semantic Segmentation on Point Clouds
A short description of the proposal.
-
Improving the Retrieval Module in RAG Systems through Reranking Distillation
This thesis investigates knowledge distillation in the retrieval task, enhancing retrieval efficiency by transferring knowledge from rerankers to retrievers.