Optimal Correction Cost for Object Detection Evaluation
Mean Average Precision (mAP) is the primary evaluation measure for object detection. Although object detection has a broad range of applications mAP […]
Domain Generalization via Shuffled Style Assembly for Face Anti-Spoofing
With diverse presentation attacks emerging continually, generalizable face anti-spoofing (FAS) has drawn growing attention. Most existing methods implement domain generalization (DG) on […]
AxIoU
Evaluation measures have a crucial impact on the direction of research. Therefore it is of utmost importance to develop appropriate and reliable […]
Decoupling Makes Weakly Supervised Local Feature Better
Weakly supervised learning can help local feature methods to overcome the obstacle of acquiring a large-scale dataset with densely labeled correspondences. However, […]
An Online Framework for Ephemeral Edge Computing in the Internet of Things
In the Internet of Things (IoT) environment, edge computing can be initiated at anytime and anywhere. However, in an IoT environment, edge […]
Uncertainty-Guided Semi-Supervised Few-Shot Class-Incremental Learning With Knowledge Distillation
Class-Incremental Learning (CIL) aims at incrementally learning novel classes without forgetting old ones. This capability becomes more challenging when novel tasks contain […]
Survey on Blockchain-Based IoT Payment and Marketplaces
The ever-growing smart applications will expand the Internet of Things (IoT) ecosystem to connect over 75 billion devices by 2025. IoT ecosystems […]
On-Demand AoI Minimization in Resource-Constrained Cache-Enabled IoT Networks with Energy Harvesting Sensors
We consider a resource-constrained IoT network where multiple users make on-demand requests to a cache-enabled edge node to send status updates about […]
Learning-Based Beam Alignment for Uplink mmWave UAVs
Unmanned aerial vehicles (UAVs) are the emerging vital components of millimeter wave (mmWave) wireless systems. Accurate beam alignment is essential for efficient […]
Joint Coherent and Non-Coherent Detection and Decoding Techniques for Heterogeneous Networks
Cellular networks that are traditionally designed for human-type communication (HTC) have the potential to provide cost effective connectivity to machine-type communication (MTC). […]