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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
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自动化研究所 [37]
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期刊论文 [43]
学位论文 [13]
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浏览/检索结果:
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COMICS: End-to-End Bi-Grained Contrastive Learning for Multi-Face Forgery Detection
期刊论文
OAI收割
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 卷号: 34, 期号: 10, 页码: 10223-10236
作者:
Zhang, Cong
;
Qi, Honggang
;
Wang, Shuhui
;
Li, Yuezun
;
Lyu, Siwei
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2024/12/06
Face recognition
Forgery
Feature extraction
Proposals
Object detection
Faces
Generators
DeepFake
multi-face forgery detection
contrastive learning
fine-grained feature learning
Test-time Forgery Detection with Spatial-Frequency Prompt Learning
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2024, 页码: 16
作者:
Duan, Junxian
;
Ai, Yuang
;
Liu, Jipeng
;
Huang, Shenyuan
;
Huang, Huaibo
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2024/09/09
Face forgery detection
Spatial-frequency prompt learning
Test-time training
Generalization
Diffusion model
WATCHER: Wavelet-Guided Texture-Content Hierarchical Relation Learning for Deepfake Detection
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2024, 页码: 22
作者:
Wang, Yuan
;
Chen, Chen
;
Zhang, Ning
;
Hu, Xiyuan
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2024/07/04
Face forgery detection
Texture features
Attention maps learning
Relation-aware feature fusion
Fine-Grained Open-Set Deepfake Detection via Unsupervised Domain Adaptation
期刊论文
OAI收割
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2024, 卷号: 19, 页码: 7536-7547
作者:
Zhou, Xinye
;
Han, Hu
;
Shan, Shiguang
;
Chen, Xilin
  |  
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2024/12/06
Deepfakes
Adaptation models
Feature extraction
Data models
Face recognition
Training
Faces
Deepfake detection
domain adaptation
unsupervised learning
fine-grained classification
Mining collaborative spatio-temporal clues for face forgery detection
期刊论文
OAI收割
MULTIMEDIA TOOLS AND APPLICATIONS, 2023, 页码: 20
作者:
Ding, Bo
;
Fan, Zhenfeng
;
Zhao, Zejun
;
Xia, Shihong
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2023/12/04
Face forgery detection
Spatial-temporal clue
Low-level feature
Collaborative learning
Multimodel attention
Face Forgery Detection by 3D Decomposition and Composition Search
期刊论文
OAI收割
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 7, 页码: 8342-8357
作者:
Zhu, Xiangyu
;
Fei, Hongyan
;
Zhang, Bin
;
Zhang, Tianshuo
;
Zhang, Xiaoyu
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2023/11/17
Faces
Forgery
Three-dimensional displays
Face recognition
Feature extraction
Lighting
Computer architecture
Composition search
differentiable search
fake face
forgery detection
3D decomposition
3D face model
A Novel Cost-effective Vivo Facial Detection Technique Based on Snapshot Spectral Imaging Sensor
会议论文
OAI收割
Beijing, China, 2023-07-25
作者:
Wang, Zhihai
;
Wang, Shuai
;
Gao, Bo
;
Wang, Tianxin
;
Zhao, Lvrong
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2024/02/07
Face Anti-spoofing
Spectral Imaging
Vivo Facial Detection
Neural Network
YuNet: A Tiny Millisecond-level Face Detector
期刊论文
OAI收割
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 656-665
作者:
Wei Wu
;
Hanyang Peng
;
Shiqi Yu
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2024/04/23
Face detection, object detection, computer version, lightweight, inference efficiency, anchor-free mechanism
RVFace: Reliable Vector Guided Softmax Loss for Face Recognition
期刊论文
OAI收割
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 2337-2351
作者:
Wang, Xiaobo
;
Wang, Shuo
;
Liang, Yanyan
;
Gu, Liang
;
Lei, Zhen
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2022/06/06
Deep face recognition
noisy labels detection
margin-based softmax loss
mining-based softmax loss
discriminative feature learning
Dual-Branch Meta-Learning Network With Distribution Alignment for Face Anti-Spoofing
期刊论文
OAI收割
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2022, 卷号: 17, 页码: 138-151
作者:
Jia, Yunpei
;
Zhang, Jie
;
Shan, Shiguang
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2022/12/07
Faces
Feature extraction
Testing
Face recognition
Databases
Training
Task analysis
Face anti-spoofing
face presentation attack detection
domain generalization
meta-learning
distribution alignment
deep learning