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Publication search results
found 31 matches
- 2024
- Guoqing Wang, He Chen, Jie Li, Jue Wang, Wenchao Liu, Liang Chen:
Axial-Shift Feature Interaction and Prototype-Guided Penalty Constraint for Remote Sensing Change Detection. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - Weixing Wang, Haojin Yang, Christoph Meinel, Hasan Yagiz Özkan, Cristian Bermudez Serna, Carmen Mas Machuca:
Feature Distribution Shift Mitigation with Contrastive Pretraining for Intrusion Detection. CoRR abs/2404.15382 (2024) - 2023
- Gaffari Çelik:
CovidCoughNet: A new method based on convolutional neural networks and deep feature extraction using pitch-shifting data augmentation for covid-19 detection from cough, breath, and voice signals. Comput. Biol. Medicine 163: 107153 (2023) - Jianqi Liu, Bin Deng, Caifeng Zou, Bi Zeng, Weiwen Zhang, Jianxin Tan:
Multi-lane detection by combining line anchor and feature shift for urban traffic management. Eng. Appl. Artif. Intell. 123(Part A): 106238 (2023) - Wei Li, Taotao Lai, Guanghai Liu, Haoyi Fan, Zuoyong Li:
Novelty Detection of Leukocyte Image via Mean-Shifted Feature and Directly Optimized Subspace. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - Liang-Ying Ke, Evan Chen, Chih-Hsien Hsia:
Green Coffee Bean Defect Detection Using Shift-Invariant Features and Non-Local Block. ICKII 2023: 430-431 - Míriam Barrabés, Daniel Mas Montserrat, Margarita Geleta, Xavier Giró-i-Nieto, Alexander G. Ioannidis:
Adversarial Learning for Feature Shift Detection and Correction. NeurIPS 2023 - Míriam Barrabés, Daniel Mas Montserrat, Margarita Geleta, Xavier Giró-i-Nieto, Alexander G. Ioannidis:
Adversarial Learning for Feature Shift Detection and Correction. CoRR abs/2312.04546 (2023) - 2022
- Nicolas Gonthier, Saïd Ladjal, Yann Gousseau:
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts. Comput. Vis. Image Underst. 214: 103299 (2022) - Andong Tan, Niklas Hanselmann, Shuxiao Ding, Federico Tombari, Marius Cordts:
Unsupervised Domain Adaptive Object Detection with Class Label Shift Weighted Local Features. ECCV Workshops (2) 2022: 118-133 - Takumi Mori, Masahiro Nonaka, Takahiro Kunii, Masanao Koeda, Kaoru Watanabe, Hiroshi Noborio:
Algorithm for Automatic Brain-Shift Detection Using the Distance Between Feature Descriptors. HCI (2) 2022: 376-387 - Yu Zhang, Fuen Chen, Xin Wang:
BRNet: a Bilateral Lane Detection Framework Based on Recurrent Feature-Shift Aggregator. ITSC 2022: 4082-4087 - 2021
- Krishna Dutta, Madhusudan Singh, Debadatta Pati:
Detection of replay signals using excitation source and shifted CQCC features. Int. J. Speech Technol. 24(2): 497-507 (2021) - Xiangxiang Wei, Dechang Yang, Xiaowei Wang, Bin Wang, Jie Gao, Kewen Wei:
Faulty Feeder Detection Based on Fundamental Component Shift and Multiple-Transient-Feature Fusion in Distribution Networks. IEEE Trans. Smart Grid 12(2): 1699-1711 (2021) - Tu Zheng, Hao Fang, Yi Zhang, Wenjian Tang, Zheng Yang, Haifeng Liu, Deng Cai:
RESA: Recurrent Feature-Shift Aggregator for Lane Detection. AAAI 2021: 3547-3554 - Song Wang, Yi Lu Murphey:
Driving Maneuver Detection using Features of Driver's attention and Face Shift through Deeping Learning. IJCNN 2021: 1-8 - Zhuofan Zong, Qianggang Cao, Biao Leng:
RCNet: Reverse Feature Pyramid and Cross-scale Shift Network for Object Detection. ACM Multimedia 2021: 5637-5645 - Yusuke Kanebako, Kazuki Tsukamoto:
PuzzleShuffle: Undesirable Feature Learning for Semantic Shift Detection. ECML/PKDD (5) 2021: 3-19 - Sean Kulinski, Saurabh Bagchi, David I. Inouye:
Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests. CoRR abs/2107.06929 (2021) - Zhuofan Zong, Qianggang Cao, Biao Leng:
RCNet: Reverse Feature Pyramid and Cross-scale Shift Network for Object Detection. CoRR abs/2110.12130 (2021) - 2020
- Sean Kulinski, Saurabh Bagchi, David I. Inouye:
Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests. NeurIPS 2020 - Nicolas Gonthier, Saïd Ladjal, Yann Gousseau:
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts. CoRR abs/2008.01178 (2020) - Tu Zheng, Hao Fang, Yi Zhang, Wenjian Tang, Zheng Yang, Haifeng Liu, Deng Cai:
RESA: Recurrent Feature-Shift Aggregator for Lane Detection. CoRR abs/2008.13719 (2020) - 2018
- Yaping Yan, Sheng Xiang, Hirokazu Asano, Shun'ichi Kaneko:
Accumulated Aggregation Shifting Based on Feature Enhancement for Defect Detection on 3D Textured Low-Contrast Surfaces. ICPR 2018: 2965-2970 - Srinivas Kantheti, Hemant A. Patil:
Relative Phase Shift Features for Replay Spoof Detection System. SLTU 2018: 98-102 - 2016
- Tae Gyoon Kang, Kang Hyun Lee, Woo Hyun Kang, Soo Hyun Bae, Nam Soo Kim:
DNN-based voice activity detection with local feature shift technique. APSIPA 2016: 1-4 - 2014
- Mohamed Kamal Omar, Sriram Ganapathy:
Shift-invariant features for speech activity detection in adverse radio-frequency channel conditions. ICASSP 2014: 6309-6313 - 2013
- M. Kranthi Kiran, T. ShyamVamsi:
Hand Gesture Detection and Recognition Using Affine-Shift, Bag-of-Features and Extreme Learning Machine Techniques. FICTA 2013: 181-187 - 2012
- Ichiro Ide, Taku Kuhara, Daisuke Deguchi, Tomokazu Takahashi, Hiroshi Murase:
Detection and Classification of Repetitious Human Motions Combining Shift Variant and Invariant Features. EST 2012: 86-89 - Assaf Glazer, Michael Lindenbaum, Shaul Markovitch:
Feature shift detection. ICPR 2012: 1383-1386
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