Object Detection()_Mars_WH-CSDN

2018-8-21 · Multi-scale Location-aware Kernel Representation for Object Detection Loss Rank Mining: A General Hard Example Mining Method for Real-time Detectors DetNet: A Backbone network for Object Detection Robust Physical Adversarial Attack on Faster R-CNN

Outlier Detection for Temporal Data | Synthesis Lectures ...

2018-11-19 · Abstract. Download Free Sample. Outlier (or anomaly) detection is a very broad field which has been studied in the context of a large number of research areas like statistics, data mining, sensor networks, environmental science, distributed systems, spatio-temporal mining, etc. Initial research in outlier detection focused on time series-based outliers (in statistics).

Robust Anomaly Detection for Multivariate Time Series ...

2019-7-25 · However, due to the complex temporal dependence and stochasticity of multivariate time series, their anomaly detection remains a big challenge. This paper proposes OmniAnomaly, a stochastic recurrent neural network for multivariate time series anomaly detection that works well robustly for …

Efficient Mining of Multiple Partial Near-Duplicate ...

2010-6-9 · approach, nevertheless, is suitable only for large-scale copy detection. To balance detection accuracy and speed, techniques for distributed and hierarchical mining of near-duplicates have also been proposed. In [32], domain knowledge is exploited for distributed mining. A temporal…

RTFN: Robust Temporal Feature Network

2021-6-18 · RTFN: Robust Temporal Feature Network Zhiwen Xiao School of Information Science and Technology, Southwest Jiaotong University, Chengdu [email protected] Xin Xu School of Computer Technology Science, China University of Mining and Technology [email protected] Huanlai Xing School of Information Science and Technology, Southwest Jiaotong University ...

Awesome-CVPR-Paper/CVPR2021_accept_all_papers.md at …

CVPR,2021、2020、2019、2018、2017. Contribute to Sophia-11/Awesome-CVPR-Paper development by creating an account on GitHub.

Yao Xie

2021-8-19 · ICLR 2021, Workshop on robust and reliable machine learning in the real world. Online high-dimensional change-point detection using topological data analysis. Xiaojun Zheng, Simon Mak, Yao Xie. ICLR 2021, Workshop on Geometrical and Topological Representation Learning. Conformal anomaly detection on spatio-temporal observations with missing data.

Robust copy detection by mining temporal self-similarities

This paper introduces a self-similarity matrix (SSM) based video copy detection scheme and a visual character-string (VCS) descriptor for SSM matching. SSM, which exploits the spatial and temporal information in a video clip, is extracted from exhaustive calculation of distances between the frames. The SSM based method treats the video clip as a whole and transforms the temporal self ...

A sensitive and robust thin-film x-ray detector using 2D ...

Solid-state radiation detectors, using crystalline semiconductors to convert radiation photons to electrical charges, outperform other technologies with high detectivity and sensitivity. Here, we demonstrate a thin-film x-ray detector comprised with highly crystalline two-dimensional Ruddlesden-Popper phase layered perovskites fabricated in a fully depleted p - i-n architecture.

2014-3-11 · ITQ Binary codes – Code for generation of small binary codes using Iterative Quantization and other baselines such as Locality-Sensitive-Hashing (CVPR 2011). INRIA Image Retrieval – Efficient code for state-of-the-art large-scale image retrieval (CVPR 2011). See Part-based Models and Convolutional Nets above.

RobustPeriod: Robust Time-Frequency Mining for Multiple ...

A Robust and Efficient Multi-Scale Seasonal-Trend Decomposition. In Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP ''21). IEEE. Google Scholar; Rendong Yang, Chen Zhang, and Zhen Su. 2011. LSPR: an integrated periodicity detection algorithm for unevenly sampled temporal microarray data.

A review on robust video copy detection | SpringerLink

2021-3-9 · periodicity detection. In this paper, we propose a robust and gen-eral framework for multiple periodicity detection. Our algorithm applies maximal overlap discrete wavelet transform to transform the time series into multiple temporal-frequency scales such that different periodic components can be isolated. We rank them by wavelet variance, and ...

Dynamic temporal ADS-B data attack detection based on sHDP ...

2020-6-1 · With the data feature, attack detection on ADS-B data is in demand of online sequential detection mechanism. Low time delay, high accuracy, robust and self-adaptive detection performance is required, which constricts with establishing attack detection model. For attack detection on ADS-B data, there are five primary methods: (1)

Environment Recognition & Intelligent Computation ...

2021-3-1 · Congratulations. 2021-03-01 by admin. "Partial Feature Selection and Alignment for Multi-Source Domain Adaptation" is accepted by IEEE 2021 Conference on Computer Vision and Pattern Recognition (CVPR). "Robust Motion Averaging under Maximum Correntropy Criterion" is accepted by 2021 IEEE International Conference on Robotics and ...

Zhen Cui –

2020-12-10 · [2] Xilin Chen, Xiujuan Chai, Bin Wu, Zhen Cui, Yuan Zheng, Haifeng Chen. Robust detection and relevant devices for scratched glass image. No. CN201010266622.0, Mar, 2011. RESEARCH PROJECTS Study on Recursive Modeling and Its Applications to

Temporal Context Aggregation for Video Retrieval With ...

2020-12-18 · Temporal Context Aggregation for Video Retrieval with Contrastive Learning Jie Shao∗1,3, Xin Wen∗†2,3, Bingchen Zhao2, and Xiangyang Xue1 1School of Computer Science, Fudan University, Shanghai, China 2Department of Computer Science and Technology, Tongji University, Shanghai, China 3ByteDance AI Lab [email protected] .cn, [email protected] .cn, [email protected] , …

CVPR2021-Papers-with-Code/CVPR2020-Papers-with-Code ...

CVPR 2021 . Contribute to amusi/CVPR2021-Papers-with-Code development by creating an account on GitHub.

Publications

2020-11-15 · Temporal Context-Aware Representation Learning for Question Routing, WSDM''20. Wenchao Yu, Wei Cheng, Charu Aggarwal, Bo Zong, Haifeng Chen, and Wei Wang. Self-Attentive Attributed Network Embedding Through Adversarial Learning, ICDM''19.

ROBUST COPY DETECTION BY MINING TEMPORAL SELF …

2017-9-28 · robust copy detection by mining temporal self-similarities Zhipeng Wu 1, Qingming Huang 1, 2, Shuqiang Jiang 2 1 Graduate University of Chinese Academy of Sciences, Beijing, 100049, China

Robust statistics for outlier detection

2011-1-6 · Robust statistics aims at detecting the outliers by searching for the model fitted by the majority of the data. We present an overview of several robust methods and outlier detection tools.

A Robust Forgery Detection Method for Copy–Move and ...

Internet of Things (IoT) image sensors, social media, and smartphones generate huge volumes of digital images every day. Easy availability and usability of photo editing tools have made forgery attacks, primarily splicing and copy–move attacks, effortless, causing cybercrimes to be on the rise. While several models have been proposed in the literature for detecting these attacks, the ...

--UCAS

--UCAS. . . : [email protected] : 55. : 100190.

!CVPR 2021 Transformer(43)

Visual Transformer! :Amusi | :CVer :!CVPR 2021 Transformer(43) 2020,2021,Visual Transformer…

Robust cognitive load detection from wrist-band sensors ...

2021-8-1 · A robust predictive method for cognitive load detection. In this section, we present our ensemble learning approach to robust and accurate cognitive load detection based on the [email protected] 2020 data set. The pipeline of feature generation and ensemble model development is summarized in Fig. 2. 5.1.

Robust Video Duplicate Detection & Localization in Very ...

2011-8-1 · Robust Video Duplicate Detection & Localization in Very Large Repositories Zhu Li Dept of Computing ... – Self-expression, Interaction and Social Networking, P2P video,video blog, ... Duplicate frames are not the exact copy of the original in the repository Otherwise, the problem is becoming trivial, just design a hash function ...

Publications, Yiqun Xie

2021-8-15 · A Unified Framework for Robust and Efficient Hotspot Detection in Smart Cities. ACM Transactions on Data Science (TDS). Yiqun Xie, Xun Zhou and Shashi Shekhar. 2020. Discovering Interesting Sub-Paths with Statistical Significance from Spatio-temporal …

CVPR2020,

2020-4-20 · studyaicom. CVPR 2020 1470,,100,。. :,15。. (,)。. :,&&、 ...

Wengang Zhou

2021-8-11 · Wengang Zhou - Home Page. . Mao Xi, Yun Zhou, Zheng Chen, Wengang Zhou, and Houqiang Li, "Anti-distractor Active Object Tracking in 3D Environments," Accepted to IEEE Transactions on Circuits and Systems for Video Technology ( TCSVT ), August 2021. Jiajun Deng, Wengang Zhou…

Linchao Zhu

2021-8-25 · Temporal Cross-Layer Correlation Mining for Action Recognition Linchao Zhu, Hehe Fan, Yawei Luo, Mingliang Xu, Yi Yang TMM, DOI: 10.1109/TMM.2021.3057503 . Learning to Anticipate Egocentric Actions by Imagination Yu Wu, Linchao Zhu, Xiaohan Wang, Yi Yang, and Fei Wu TIP, DOI: 10.1109/TIP.2020.3040521

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