2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2023
A geometry-aware deep network for depth estimation in monocular endoscopy
Yongming Yang, Shuwei Shao, Tao Yang +4
Monocular depth estimation is critical for endoscopists to perform spatial perception and 3D navigation of surgical sites. However, most of the existing methods ignore the importan…
cs.CV2022★ 2 cited
RepBNN: towards a precise Binary Neural Network with Enhanced Feature Map via Repeating
Xulong Shi, Zhi Qi, Jiaxuan Cai +5
Binary neural network (BNN) is an extreme quantization version of convolutional neural networks (CNNs) with all features and weights mapped to just 1-bit. Although BNN saves a lot…
cs.CV2022
Self-Supervised 3D Monocular Object Detection by Recycling Bounding Boxes
Sugirtha T, Sridevi M, Khailash Santhakumar +4
Modern object detection architectures are moving towards employing self-supervised learning (SSL) to improve performance detection with related pretext tasks. Pretext tasks for mon…