Heterogeneous diversity driven active learning for multi-object tracking
The existing one-stage multi-object tracking (MOT) algorithms have achieved satisfactory
performance benefiting from a large amount of labeled data. However, acquiring plenty of …
performance benefiting from a large amount of labeled data. However, acquiring plenty of …
Dual-Mode Learning for Multi-Dataset X-Ray Security Image Detection
With the recent advance of deep learning, a large number of methods have been developed
for prohibited item detection in X-ray security images. Generally, these methods train models …
for prohibited item detection in X-ray security images. Generally, these methods train models …
Modality Meets Long-Term Tracker: A Siamese Dual Fusion Framework for Tracking UAV
Tracking an Unmanned Aerial Vehicle (UAV) to obtain its locations and trajectory is a crucial
task to avoid the unlawful use of UAVs. However, most existing UAV tracking methods fail …
task to avoid the unlawful use of UAVs. However, most existing UAV tracking methods fail …