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cs.LG2023
Clustering-based Domain-Incremental Learning
Christiaan Lamers, Rene Vidal, Nabil Belbachir +3
We consider the problem of learning multiple tasks in a continual learning setting in which data from different tasks is presented to the learner in a streaming fashion. A key chal…
cs.CV2023
Precision in Building Extraction: Comparing Shallow and Deep Models using LiDAR Data
Muhammad Sulaiman, Mina Farmanbar, Ahmed Nabil Belbachir +1
Building segmentation is essential in infrastructure development, population management, and geological observations. This article targets shallow models due to their interpretable…
cs.CV2023
Self-supervised Hypergraphs for Learning Multiple World Interpretations
Alina Marcu, Mihai Pirvu, Dragos Costea +5
We present a method for learning multiple scene representations given a small labeled set, by exploiting the relationships between such representations in the form of a multi-task…