4 papers
False Positive Sampling-based Data Augmentation for Enhanced 3D Object Detection Accuracy
Jiyong Oh, Junhaeng Lee, Woongchan Byun +2
Recent studies have focused on enhancing the performance of 3D object detection models. Among various approaches, ground-truth sampling has been proposed as an augmentation techniq…
SBNet: Segmentation-based Network for Natural Language-based Vehicle Search
Sangrok Lee, Taekang Woo, Sang Hun Lee
Natural language-based vehicle retrieval is a task to find a target vehicle within a given image based on a natural language description as a query. This technology can be applied…
Multi-Attention-Based Soft Partition Network for Vehicle Re-Identification
Sangrok Lee, Taekang Woo, Sang Hun Lee
Vehicle re-identification helps in distinguishing between images of the same and other vehicles. It is a challenging process because of significant intra-instance differences betwe…
StRDAN: Synthetic-to-Real Domain Adaptation Network for Vehicle Re-Identification
Sangrok Lee, Eunsoo Park, Hongsuk Yi +1
Vehicle re-identification aims to obtain the same vehicles from vehicle images. This is challenging but essential for analyzing and predicting traffic flow in the city. Although de…