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last="no" border_position="all"][fusion_text columns="" column_min_width="" column_spacing="" rule_style="" rule_size="" rule_color="" hue="" saturation="" lightness="" alpha="" content_alignment_medium="" content_alignment_small="" content_alignment="" hide_on_mobile="small-visibility,medium-visibility,large-visibility" sticky_display="normal,sticky" class="" id="" margin_top="" margin_right="" margin_bottom="" margin_left="" fusion_font_family_text_font="" fusion_font_variant_text_font="" font_size="" line_height="" letter_spacing="" text_transform="" text_color="" animation_type="" animation_direction="left" animation_color="" animation_speed="0.3" animation_delay="0" animation_offset="" logics=""] Thesis Code: 24003 Thesis type: M.Sc. in Machine Learning, Data Science, Computer Science, Mathematics, or similar Research area : Ai, Data and Space Keywords: Vision-Language Models, Multimodality, Modality Gap, Image processing, Language processing, Deep learning Requirements: Knowledge of Python; Software development skills; Basic concepts of data science, concerning data analysis, processing and machine learning; Concepts of image processing, and language processing. Description: The emergence of large-scale pretrained Vision-Language Models (VLMs) like CLIP has revolutionized multimodal representation learning. These models excel in bridging the semantic gap between images and text. Despite advancements, a critical issue known as the Modality Gap, primarily observed in CLIP, remains unexplored in other VLM architectures. This gap refers to the semantic misalignment between image and text representations. While CLIP has highlighted this gap, there's no widely accepted measure or standard benchmark dataset for its evaluation, though datasets like MS COCO or Flickr30k can provide insights. This thesis aims to explore and address the Modality Gap in modern VLM architectures by devising methods for its quantification and visualization. The project comprises a review and of large pre-trained VLM models with a focus on recent developments concerning the Modality Gap. The thesis will encompass the following activities: (i) Datasets and Models Identification: identify relevant benchmark datasets and pretrained VLM models, such as CLIP, ALBEF, Florence, FLAVA, and others. (ii) Data Analysis and Pre-processing: pre-process datasets to prepare them for Modality-Gap evaluation. (iii) Evaluation: Implement evaluation metrics and visualization methods to quantify the Modality Gap across different VLM architectures (utilizing frameworks like PyTorch, Keras, etc.). (v) Result Analysis and Visualization. Contact: send a resume with attached the list of exams to federico.dasaro@linksfoundation.com specifying the thesis code and title. [/fusion_text][/fusion_builder_column][/fusion_builder_row][/fusion_builder_container]

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Enhancing Spatial Resolution in Sentinel-3 Data with DEM and Land Cover: A Landsat 8 Supervised Approach

Cristiana2024-02-20T13:54:10+01:0020 February 2024|- Available Theses, AI, Data & Space|

Thesis Code: 24007 Thesis type: M.Sc. in Machine Learning, Data Science, Computer Science, Mathematics, or similar Keywords: EO data, ...

3D Semantic Segmentation of Urban Scenes

Cristiana2024-02-20T13:50:14+01:0020 February 2024|- Available Theses, AI, Data & Space|

Thesis Code: 24006 Thesis type: M.Sc. in Machine Learning, Data Science, Computer Science, Mathematics, or similar Keywords: 3D data, ...

Multi-Modal Land Cover Segmentation from Remote Sensing Images

Cristiana2024-02-20T13:47:07+01:0020 February 2024|- Available Theses, AI, Data & Space|

Thesis Code: 24005 Thesis type: M.Sc. in Machine Learning, Data Science, Computer Science, Mathematics, or similar Keywords: image processing, ...

Exploring SAR interferometry (InSAR) for surface monitoring

Cristiana2024-02-20T12:06:06+01:0020 February 2024|- Available Theses, AI, Data & Space|

Thesis Code: 24004 Thesis type: M.Sc. in Machine Learning, Data Science, Computer Science, Mathematics, Telecommunications, or similar Keywords: data ...

Modality Gap in VLMs

Cristiana2024-02-20T12:03:20+01:0020 February 2024|- Available Theses, AI, Data & Space|

Thesis Code: 24003 Thesis type: M.Sc. in Machine Learning, Data Science, Computer Science, Mathematics, or similar Research area: Ai, ...

Open Set Segmentation on Aerial Images

Cristiana2024-02-20T11:59:44+01:0020 February 2024|- Available Theses, AI, Data & Space|

Thesis Code: 24002 Thesis type: M.Sc. in Machine Learning, Data Science, Computer Science, Mathematics, or similar Research area: Ai, ...

La tecnologia blockchain per la tracciabilità dei dati nel settore automotive: un modello economico per valutarne costi e benefici

Cristiana2024-02-20T11:06:35+01:0015 February 2024|- Available Theses, Strategic Marketing & Innovation Services|

Thesis Code: 24001 Thesis Type: Laurea Magistrale in ingegneria gestionale Research Area: SMI – Strategic Marketing & Innovation Services Description ...

Evoluzione dei Sistemi Informativi Territoriali (SIT) per la gestione delle infrastrutture: studio sulle fonti dati, benchmarking delle tecnologie e strategie di integrazione nella Regione Piemonte

Cristiana2024-02-20T11:07:25+01:0027 September 2023|- Available Theses, Future cities & communities|

Thesis Code: 23007 Thesis Type: Laurea Magistrale in ingegneria per l'ambiente e il territorio (environmental and land engineering), ingegneria ...

Development of a Monitoring and Control Tool for Robotic Platforms

Cristiana2024-02-20T11:07:43+01:0012 July 2023|- Available Theses|

Thesis Code: 23006 Thesis Type: M.Sc. thesis in Computer Science, Mechatronics, Electronics, Information Technology Research Domain: Connected Systems & ...

Development of Firmware Modules for a Real Time Locating System Enabling Robotics Applications in Large Indoor Environments

Cristiana2023-07-12T11:33:57+02:0012 July 2023|- Available Theses|

Thesis Code: 23005 Thesis Type: M.Sc. thesis in Computer Science, Mechatronics, Electronics, Information Technology Research Domain: Connected Systems & ...