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20202024
most citedSpatial-Spectral Clustering with Anchor Graph for Hyperspectral Image

29 citations · 63 across the 18 of their papers we have counts for

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Showing 2021 · cs.CVShow all

6 papers · 2 filters

cs.CV2021

Adaptive Shrink-Mask for Text Detection

Chuang Yang, Mulin Chen, Yuan Yuan +2

Existing real-time text detectors reconstruct text contours by shrink-masks directly, which simplifies the framework and can make the model run fast. However, the strong dependence…

cs.CV2021★ 1 cited

MT: Multi-Perspective Feature Learning Network for Scene Text Detection

Chuang Yang, Mulin Chen, Yuan Yuan +1

Text detection, the key technology for understanding scene text, has become an attractive research topic. For detecting various scene texts, researchers propose plenty of detectors…

cs.CV2021★ 29 cited

Spatial-Spectral Clustering with Anchor Graph for Hyperspectral Image

Qi Wang, Yanling Miao, Mulin Chen +1

Hyperspectral image (HSI) clustering, which aims at dividing hyperspectral pixels into clusters, has drawn significant attention in practical applications. Recently, many graph-bas…

cs.CV2021★ 2 cited

BiP-Net: Bidirectional Perspective Strategy based Arbitrary-Shaped Text Detection Network

Chuang Yang, Mulin Chen, Yuan Yuan +1

Detecting irregular-shaped text instances is the main challenge for text detection. Existing approaches can be roughly divided into top-down and bottom-up perspective methods. The…

cs.CV2021

Spatial-spectral Hyperspectral Image Classification via Multiple Random Anchor Graphs Ensemble Learning

Yanling Miao, Qi Wang, Mulin Chen +1

Graph-based semi-supervised learning methods, which deal well with the situation of limited labeled data, have shown dominant performance in practical applications. However, the hi…

cs.CV2021★ 1 cited

Multi-channel Deep Supervision for Crowd Counting

Bo Wei, Mulin Chen, Qi Wang +1

Crowd counting is a task worth exploring in modern society because of its wide applications such as public safety and video monitoring. Many CNN-based approaches have been proposed…