Incomplete multi-view learning: Review, analysis, and prospects
Multi-view data, stemming from diverse information sources, often suffer from
incompleteness due to various factors such as equipment failure and data transmission …
incompleteness due to various factors such as equipment failure and data transmission …
Facing the void: Overcoming missing data in multi-view imagery
G Machado, MB Pereira, K Nogueira… - IEEE …, 2022 - ieeexplore.ieee.org
In some scenarios, a single input image may not be enough to allow the object classification.
In those cases, it is crucial to explore the complementary information extracted from images …
In those cases, it is crucial to explore the complementary information extracted from images …
Spark challenge: Multimodal classifier for space target recognition
I Lahouli, M Jarraya, G Aversano - 2021 IEEE international …, 2021 - ieeexplore.ieee.org
In this paper, we propose a multi-modal framework to tackle the SPARK Challenge by
classifying satellites using RGB and depth images. Our framework is mainly based on Auto …
classifying satellites using RGB and depth images. Our framework is mainly based on Auto …
[PDF][PDF] Facing the Void: Overcoming Missing Data in Multi-View Imagery
A DOS SANTOS - dspace.stir.ac.uk
In some scenarios, a single input image may not be enough to allow the object classification.
In those cases, it is crucial to explore the complementary information extracted from images …
In those cases, it is crucial to explore the complementary information extracted from images …