3 citations · 8 across the 4 of their papers we have counts for
4 papers
Efficient and Concise Explanations for Object Detection with Gaussian-Class Activation Mapping Explainer
Quoc Khanh Nguyen, Truong Thanh Hung Nguyen, Vo Thanh Khang Nguyen +3
To address the challenges of providing quick and plausible explanations in Explainable AI (XAI) for object detection models, we introduce the Gaussian Class Activation Mapping Expl…
Enhancing the Fairness and Performance of Edge Cameras with Explainable AI
Truong Thanh Hung Nguyen, Vo Thanh Khang Nguyen, Quoc Hung Cao +3
The rising use of Artificial Intelligence (AI) in human detection on Edge camera systems has led to accurate but complex models, challenging to interpret and debug. Our research pr…
G-CAME: Gaussian-Class Activation Mapping Explainer for Object Detectors
Quoc Khanh Nguyen, Truong Thanh Hung Nguyen, Vo Thanh Khang Nguyen +2
Nowadays, deep neural networks for object detection in images are very prevalent. However, due to the complexity of these networks, users find it hard to understand why these objec…
Towards Better Explanations for Object Detection
Van Binh Truong, Truong Thanh Hung Nguyen, Vo Thanh Khang Nguyen +2
Recent advances in Artificial Intelligence (AI) technology have promoted their use in almost every field. The growing complexity of deep neural networks (DNNs) makes it increasingl…