1k citations · 5.2k across the 59 of their papers we have counts for
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Learning Regional Attraction for Line Segment Detection
Nan Xue, Song Bai, Fu-Dong Wang +4
This paper presents regional attraction of line segment maps, and hereby poses the problem of line segment detection (LSD) as a problem of region coloring. Given a line segment map…
Conditional Generative ConvNets for Exemplar-based Texture Synthesis
Zi-Ming Wang, Meng-Han Li, Gui-Song Xia
The goal of exemplar-based texture synthesis is to generate texture images that are visually similar to a given exemplar. Recently, promising results have been reported by methods…
An Urban Water Extraction Method Combining Deep Learning and Google Earth Engine
Yudie Wang, Zhiwei Li, Chao Zeng +2
Urban water is important for the urban ecosystem. Accurate and efficient detection of urban water with remote sensing data is of great significance for urban management and plannin…
Gliding vertex on the horizontal bounding box for multi-oriented object detection
Yongchao Xu, Mingtao Fu, Qimeng Wang +4
Object detection has recently experienced substantial progress. Yet, the widely adopted horizontal bounding box representation is not appropriate for ubiquitous oriented objects su…
LIP: Learning Instance Propagation for Video Object Segmentation
Ye Lyu, George Vosselman, Gui-Song Xia +1
In recent years, the task of segmenting foreground objects from background in a video, i.e. video object segmentation (VOS), has received considerable attention. In this paper, we…
Multiple instance dense connected convolution neural network for aerial image scene classification
Qi Bi, Kun Qin, Zhili Li +2
With the development of deep learning, many state-of-the-art natural image scene classification methods have demonstrated impressive performance. While the current convolution neur…
iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images
Syed Waqas Zamir, Aditya Arora, Akshita Gupta +7
Existing Earth Vision datasets are either suitable for semantic segmentation or object detection. In this work, we introduce the first benchmark dataset for instance segmentation i…