114 citations · 136 across the 5 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
cs.CV2021★ 9 cited
Co-training for Deep Object Detection: Comparing Single-modal and Multi-modal Approaches
Jose L. Gómez, Gabriel Villalonga, Antonio M. López
Top-performing computer vision models are powered by convolutional neural networks (CNNs). Training an accurate CNN highly depends on both the raw sensor data and their associated…
cs.CV2021
Monocular Depth Estimation through Virtual-world Supervision and Real-world SfM Self-Supervision
Akhil Gurram, Ahmet Faruk Tuna, Fengyi Shen +2
Depth information is essential for on-board perception in autonomous driving and driver assistance. Monocular depth estimation (MDE) is very appealing since it allows for appearanc…