4 papers
Depth3DLane: Fusing Monocular 3D Lane Detection with Self-Supervised Monocular Depth Estimation
Max van den Hoven, Kishaan Jeeveswaran, Pieter Piscaer +3
Monocular 3D lane detection is essential for autonomous driving, but challenging due to the inherent lack of explicit spatial information. Multi-modal approaches rely on expensive…
Continual Learning Beyond Experience Rehearsal and Full Model Surrogates
Prashant Bhat, Laurens Niesten, Elahe Arani +1
Continual learning (CL) has remained a significant challenge for deep neural networks as learning new tasks erases previously acquired knowledge, either partially or completely. Ex…
Parameter Efficient Continual Learning with Dynamic Low-Rank Adaptation
Prashant Shivaram Bhat, Shakib Yazdani, Elahe Arani +1
Catastrophic forgetting has remained a critical challenge for deep neural networks in Continual Learning (CL) as it undermines consolidated knowledge when learning new tasks. Param…
Beyond Unimodal Learning: The Importance of Integrating Multiple Modalities for Lifelong Learning
Fahad Sarfraz, Bahram Zonooz, Elahe Arani
While humans excel at continual learning (CL), deep neural networks (DNNs) exhibit catastrophic forgetting. A salient feature of the brain that allows effective CL is that it utili…