6 papers
Confusion-Aware Transfer Teacher Curriculum Learning Framework: Disentangling Scoring and Pacing Effects
Savini Kommalage, Sanka Mohottala, Asiri Gawesha +5
Curriculum learning couples two design choices, how samples are scored by difficulty and how harder samples are paced into training, making it difficult to attribute observed gains…
ITP-STDP: An Intrinsic-Timing Power-of-Two Learning Engine for On-Chip SNN Training
Haihang Xia, Xinyu Zhao, Xuecheng Wang +5
Spiking neural networks (SNNs) have the potential to emerge as the third generation of neural networks and have attracted increasing attention across a wide range of applications.…
Region-CAM: Towards Accurate Object Regions in Class Activation Maps for Weakly Supervised Learning Tasks
Qingdong Cai, Charith Abhayaratne
Class Activation Mapping (CAM) methods are widely applied in weakly supervised learning tasks due to their ability to highlight object regions. However, conventional CAM methods hi…
Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features
Ziyong Wang, Charith Abhayaratne
The explosive growth of digital images and the widespread availability of image editing tools have made image manipulation detection an increasingly critical challenge. Current dee…
AW-GATCN: Adaptive Weighted Graph Attention Convolutional Network for Event Camera Data Joint Denoising and Object Recognition
Haiyu Li, Charith Abhayaratne
Event cameras, which capture brightness changes with high temporal resolution, inherently generate a significant amount of redundant and noisy data beyond essential object structur…
NLS: Natural-Level Synthesis for Hardware Implementation Through GenAI
Kaiyuan Yang, Huang Ouyang, Xinyi Wang +6
This paper introduces Natural-Level Synthesis, an innovative approach for generating hardware using generative artificial intelligence on both the system level and component-level.…