41 citations · 126 across the 31 of their papers we have counts for
Showing 2023 · cs.CVShow all
3 papers · 2 filters
cs.CV2023★ 1 cited
Improved Region Proposal Network for Enhanced Few-Shot Object Detection
Zeyu Shangguan, Mohammad Rostami
Despite significant success of deep learning in object detection tasks, the standard training of deep neural networks requires access to a substantial quantity of annotated images…
cs.CV2023★ 4 cited
Unsupervised Domain Adaptation for Training Event-Based Networks Using Contrastive Learning and Uncorrelated Conditioning
Dayuan Jian, Mohammad Rostami
Event-based cameras offer reliable measurements for preforming computer vision tasks in high-dynamic range environments and during fast motion maneuvers. However, adopting deep lea…
cs.CV2023★ 1 cited
Identification of Novel Classes for Improving Few-Shot Object Detection
Zeyu Shangguan, Mohammad Rostami
Conventional training of deep neural networks requires a large number of the annotated image which is a laborious and time-consuming task, particularly for rare objects. Few-shot o…