VisDrone-DET2021: The vision meets drone object detection challenge results
Object detection on the drone faces a great diversity of challenges such as small object
inference, background clutter and wide viewpoint. In contrast to traditional detection problem …
inference, background clutter and wide viewpoint. In contrast to traditional detection problem …
VisDrone-DET2019: The vision meets drone object detection in image challenge results
Recently, automatic visual data understanding from drone platforms becomes highly
demanding. To facilitate the study, the Vision Meets Drone Object Detection in Image …
demanding. To facilitate the study, the Vision Meets Drone Object Detection in Image …
Deep-PCAC: An end-to-end deep lossy compression framework for point cloud attributes
X Sheng, L Li, D Liu, Z ** mechanism
L **e, W Cai, Y Gao - IEEE Journal of Biomedical and Health …, 2022 - ieeexplore.ieee.org
Automatic Medical Image Segmentation (MIS) can assist doctors by reducing labor and
providing a unified standard. Nowadays, approaches based on Deep Learning have …
providing a unified standard. Nowadays, approaches based on Deep Learning have …
Collaborative inference via ensembles on the edge
The success of deep neural networks (DNNs) as an enabler of artificial intelligence (AI) is
heavily dependent on high computational resources. The increasing demands for …
heavily dependent on high computational resources. The increasing demands for …
Pretrained implicit-ensemble transformer for open-set authentication on multimodal mobile biometrics
Smartphones have become indispensable in our lives, even for security-critical tasks.
Traditional security measures such as PINs provide only one-time authentication, while …
Traditional security measures such as PINs provide only one-time authentication, while …
Decentralized low-latency collaborative inference via ensembles on the edge
The success of deep neural networks (DNNs) is heavily dependent on computational
resources. While DNNs are often employed on cloud servers, there is a growing need to …
resources. While DNNs are often employed on cloud servers, there is a growing need to …
Easy ensemble: simple deep ensemble learning for sensor-based human activity recognition
T Hasegawa, K Kondo - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Sensor-based human activity recognition (HAR) is a paramount technology in the Internet of
Things services. HAR using representation learning, which automatically learns a feature …
Things services. HAR using representation learning, which automatically learns a feature …