Feb 6, 2022 · This work explores the viability and timing comparisons of eye gaze labeling compared to conventional manual labeling for training object detectors.
Three popular object detection algorithms were employed in our experiments: (1) Faster R-CNN with Inceptionv2 architecture (2). YOLOv3 with DarkNet53 ...
Results demonstrate that gaze tracking based labeling can save valuable pathologist time and delivers good performance when employed for training a deep object ...
Jul 1, 2022 · Dive into the research topics of 'On Smart Gaze Based Annotation of Histopathology Images for Training of Deep Convolutional Neural Networks'.
This architecture in eye gaze tracking applications supports predicting the point of gaze based on eye images or related features. MobileNet [19], known for its ...
Gaze Based Annotation of Histopathology Images for Training of Deep Convolutional Neural Networks. This repo contains the code and data used for our work on ...
On Smart Gaze based Annotation of Histopathology Images for Training of Deep Convolutional Neural Networks · 1 code implementation • 6 Feb 2022 • Komal Mariam ...
Apr 25, 2024 · Hassan Aqeel Khan : On Smart Gaze Based Annotation of Histopathology Images for Training of Deep Convolutional Neural Networks. IEEE J ...
On Smart Gaze based Annotation of Histopathology Images for Training of Deep Convolutional Neural Networks ... Learning for Histopathology Image Analysis.