본문

  1. Home
  4. 소장자료검색
141 Results:SS:COMPUTERVISION 0.381 sec.
RSS 
다국어입력
 상세검색
 신착검색
선택출력 선택엑셀내보내기
1
Language Supervision for Computer Vision.
Language Supervision for Computer Vision.
Desai, Karan P.Computer Science & Engineering. | University of Michigan. | 2024
프린트
2
Holistic Bias Mitigation in Computer Vision and Beyond.
Holistic Bias Mitigation in Computer Vision and Beyond.
Li, Yi.Electrical and Computer Engineering. | University of California, San Diego. | 2024
프린트
3
Advancing Environmental Applications Through Machine Learning and Computer Vision: Modeling, Algorithms, and Real-World Implementations- [electronic resource]
Advancing Environmental Applications Through Machine Learning and Computer Vision: Modeling, Algorithms, and Real-World Implementations- [electronic resource]
Zhang, Tony.Electrical and Computer Engineering. | University of Michigan. | 2023
프린트
4
Object Atomicity in Computer Vision- [electronic resource]
Object Atomicity in Computer Vision- [electronic resource]
Bowen, Richard Strong.Computer Science. | Cornell University. | 2023
프린트
5
Machine Learning for Tangible Effects: Natural Language Processing for Uncovering the Illicit Massage Industry & Computer Vision for Tactile Sensing- [electronic resource]
Machine Learning for Tangible Effects: Natural Language Processing for Uncovering the Illicit Massage Industry & Computer Vision for Tactile Sensing- [electronic resource]
Ouyang, Nancy Rui.Engineering and Applied Sciences | Harvard University. | 2023
프린트
6
Computer Vision for Morphological Evaluation of Musculoskeletal Disorders in Magnetic Resonance Imaging- [electronic resource]
Computer Vision for Morphological Evaluation of Musculoskeletal Disorders in Magnetic Resonance Imaging- [electronic resource]
Gao, Kenneth.Bioengineering. | University of California, San Francisco. | 2023
프린트
7
Tackling Bias Within Computer Vision Models- [electronic resource]
Tackling Bias Within Computer Vision Models- [electronic resource]
Ramaswamy, Vikram V.Computer Science. | Princeton University. | 2023
프린트
8
Improved Training of Deep Networks for Computer Vision.
Improved Training of Deep Networks for Computer Vision.
Yadav, Abhay Kumar.Computer Science. | University of Maryland, College Park. | 2021
프린트
9
Attention-Based and Causal Explanations in Computer Vision.
Attention-Based and Causal Explanations in Computer Vision.
Alipour, Kamran.Computer Science and Engineering. | University of California, San Diego. | 2022
프린트
10
To Overcome Limitations of Computer Vision Datasets.
To Overcome Limitations of Computer Vision Datasets.
Liu, Bo.Electrical and Computer Engineering. | University of California, San Diego. | 2021
프린트
처음12345678910이후마지막