Zobrazeno 1 - 10
of 709
pro vyhledávání: '"Zhang Hanwei"'
The European AI Act is a new, legally binding instrument that will enforce certain requirements on the development and use of AI technology potentially affecting people in Europe. It can be expected that the stipulations of the Act, in turn, are goin
Externí odkaz:
http://arxiv.org/abs/2408.01449
Neural Radiance Field (NeRF) represents a significant advancement in computer vision, offering implicit neural network-based scene representation and novel view synthesis capabilities. Its applications span diverse fields including robotics, urban ma
Externí odkaz:
http://arxiv.org/abs/2407.11921
Structural health monitoring (SHM) is critical to safeguarding the safety and reliability of aerospace, civil, and mechanical infrastructure. Machine learning-based data-driven approaches have gained popularity in SHM due to advancements in sensors a
Externí odkaz:
http://arxiv.org/abs/2406.14232
Autor:
Zhang, Hanwei, Cheng, Luo, He, Qisong, Huang, Wei, Li, Renjue, Sicre, Ronan, Huang, Xiaowei, Hermanns, Holger, Zhang, Lijun
Classification of 3D point clouds is a challenging machine learning (ML) task with important real-world applications in a spectrum from autonomous driving and robot-assisted surgery to earth observation from low orbit. As with other ML tasks, classif
Externí odkaz:
http://arxiv.org/abs/2405.14210
State space models (SSMs) with selection mechanisms and hardware-aware architectures, namely Mamba, have recently demonstrated significant promise in long-sequence modeling. Since the self-attention mechanism in transformers has quadratic complexity
Externí odkaz:
http://arxiv.org/abs/2404.15956
Autor:
Sicre, Ronan, Zhang, Hanwei, Dejasmin, Julien, Daaloul, Chiheb, Ayache, Stéphane, Artières, Thierry
This paper presents Discriminative Part Network (DP-Net), a deep architecture with strong interpretation capabilities, which exploits a pretrained Convolutional Neural Network (CNN) combined with a part-based recognition module. This system learns an
Externí odkaz:
http://arxiv.org/abs/2404.15037
This paper studies interpretability of convolutional networks by means of saliency maps. Most approaches based on Class Activation Maps (CAM) combine information from fully connected layers and gradient through variants of backpropagation. However, i
Externí odkaz:
http://arxiv.org/abs/2404.15024
Explanations obtained from transformer-based architectures in the form of raw attention, can be seen as a class-agnostic saliency map. Additionally, attention-based pooling serves as a form of masking the in feature space. Motivated by this observati
Externí odkaz:
http://arxiv.org/abs/2404.14996
In pediatric cardiology, the accurate and immediate assessment of cardiac function through echocardiography is crucial since it can determine whether urgent intervention is required in many emergencies. However, echocardiography is characterized by a
Externí odkaz:
http://arxiv.org/abs/2402.08506
Autor:
Zhao, Zhengyu, Zhang, Hanwei, Li, Renjue, Sicre, Ronan, Amsaleg, Laurent, Backes, Michael, Li, Qi, Shen, Chao
Transferable adversarial examples raise critical security concerns in real-world, black-box attack scenarios. However, in this work, we identify two main problems in common evaluation practices: (1) For attack transferability, lack of systematic, one
Externí odkaz:
http://arxiv.org/abs/2310.11850