Effective and Efficient Global Context Verification for Image Copy Detection

By Zhili Zhou, Yunlong Wang, Q. M. Jonathan Wu, Ching-Nung Yang, Xingming Sun. IEEE Transactions on Information Forensics and Security, 2017

341 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/fff3ed87b17d448c9844b15f91da72e5056c831f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Xuebin Qin

In Computer Vision and Pattern Recognition

1. Xuebin Qin
2. Na Zhao
3. Shanshan Zhao
4. Ligang Liang
5. Xiucheng Yang

Citations in the corpus

• Call Attention to Rumors: Deep Attention Based Recurrent Neural Networks for Early Rumor Detection (2017, neutral): “KEYWORDS Early rumor detection, Recurrent neural networks, Deep a ention models”
• Mapping of Urban Surface Water Bodies from Sentinel-2 MSI Imagery at 10 m Resolution via NDWI-Based Image Sharpening (2017, background): “Furthermore, the contextual information [40] may help the feature connection process.”
• A new narrow band vegetation index for characterizing the degree of vegetation stress due to copper: the copper stress vegetation index (CSVI) (2017, methodology): “In addition, robustness is important for the applicability of a method (Zhou et al. 2016; Yuhui et al. 2015).”