Robust and efficient deep learning methods for vision-based action recognition
Vision-based action recognition, which performs action recognition based solely on RGB frames, has received strong research interest thanks to its wide applications in various fields, e.g. surveillance, smart homes, and autonomous driving. Significant progress has been made in vision-based action re...
محفوظ في:
المؤلف الرئيسي: | Xu, Yuecong |
---|---|
مؤلفون آخرون: | Mao Kezhi |
التنسيق: | Thesis-Doctor of Philosophy |
اللغة: | English |
منشور في: |
Nanyang Technological University
2021
|
الموضوعات: | |
الوصول للمادة أونلاين: | https://hdl.handle.net/10356/153169 |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Adversarial robustness of deep reinforcement learning
بواسطة: Qu, Xinghua
منشور في: (2022) -
Human action recognition in the dark based on transferring learning and LSTM
بواسطة: Yang, Fan
منشور في: (2023) -
Towards robust sensing and recognition : from statistical learning to transfer learning
بواسطة: Yang, Jianfei
منشور في: (2020) -
Data efficient learning for 3D computer vision
بواسطة: Wei, Jiacheng
منشور في: (2023) -
EEG-based stress recognition using deep learning techniques
بواسطة: Ang, Jerica
منشور في: (2021)