3 papers
cs.CV2024
FewShotNeRF: Meta-Learning-based Novel View Synthesis for Rapid Scene-Specific Adaptation
Piraveen Sivakumar, Paul Janson, Jathushan Rajasegaran +1
In this paper, we address the challenge of generating novel views of real-world objects with limited multi-view images through our proposed approach, FewShotNeRF. Our method utiliz…
cs.CV2023
SATHUR: Self Augmenting Task Hallucinal Unified Representation for Generalized Class Incremental Learning
Sathursan Kanagarajah, Thanuja Ambegoda, Ranga Rodrigo
Class Incremental Learning (CIL) is inspired by the human ability to learn new classes without forgetting previous ones. CIL becomes more challenging in real-world scenarios when t…
cs.CV2023
Few-shot Multispectral Segmentation with Representations Generated by Reinforcement Learning
Dilith Jayakody, Thanuja Ambegoda
The task of segmentation of multispectral images, which are images with numerous channels or bands, each capturing a specific range of wavelengths of electromagnetic radiation, has…