92 citations · 170 across the 12 of their papers we have counts for
5 papers · 1 filter
Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection
Yu Hong, Hang Dai, Yong Ding
Leveraging LiDAR-based detectors or real LiDAR point data to guide monocular 3D detection has brought significant improvement, e.g., Pseudo-LiDAR methods. However, the existing met…
Semi-Supervised Cross-Modal Salient Object Detection with U-Structure Networks
Yunqing Bao, Hang Dai, Abdulmotaleb Elsaddik
Salient Object Detection (SOD) is a popular and important topic aimed at precise detection and segmentation of the interesting regions in the images. We integrate the linguistic in…
Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving
Yi-Nan Chen, Hang Dai, Yong Ding
Pseudo-LiDAR 3D detectors have made remarkable progress in monocular 3D detection by enhancing the capability of perceiving depth with depth estimation networks, and using LiDAR-ba…
High-resolution Iterative Feedback Network for Camouflaged Object Detection
Xiaobin Hu, Shuo Wang, Xuebin Qin +5
Spotting camouflaged objects that are visually assimilated into the background is tricky for both object detection algorithms and humans who are usually confused or cheated by the…
Scribble-based Boundary-aware Network for Weakly Supervised Salient Object Detection in Remote Sensing Images
Zhou Huang, Tian-Zhu Xiang, Huai-Xin Chen +1
Existing CNNs-based salient object detection (SOD) heavily depends on the large-scale pixel-level annotations, which is labor-intensive, time-consuming, and expensive. By contrast,…