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- Tsinghua UniversityCN9 papers
- Chinese Academy of SciencesCN7 papers
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- Beijing Institute of TechnologyCN3 papers
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- University of AucklandNZ3 papers
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- Academy of Mathematics and Systems ScienceCN2 papers
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7 papers · 1 filter
A Turbo-Inference Strategy for Object Detection and Instance Segmentation
Zhen Zhao, Gang Zhang, Xiaolin Hu +1
Object detection and instance segmentation tasks are closely related. Existing top-down instance segmentation methods usually follow a detect-then-segment paradigm, where an initia…
The Winning Solution to the iFLYTEK Challenge 2021 Cultivated Land Extraction from High-Resolution Remote Sensing Image
Zhen Zhao, Yuqiu Liu, Gang Zhang +2
Extracting cultivated land accurately from high-resolution remote images is a basic task for precision agriculture. This report introduces our solution to the iFLYTEK challenge 202…
Automated classification of stems and leaves of potted plants based on point cloud data
Zichu Liu, Qing Zhang, Pei Wang +2
The accurate classification of plant organs is a key step in monitoring the growing status and physiology of plants. A classification method was proposed to classify the leaves and…
End-to-End Face Parsing via Interlinked Convolutional Neural Networks
Zi Yin, Valentin Yiu, Xiaolin Hu +1
Face parsing is an important computer vision task that requires accurate pixel segmentation of facial parts (such as eyes, nose, mouth, etc.), providing a basis for further face an…
Automatic marker-free registration of tree point-cloud data based on rotating projection
Xiuxian Xu, Pei Wang, Xiaozheng Gan +6
Point-cloud data acquired using a terrestrial laser scanner (TLS) play an important role in digital forestry research. Multiple scans are generally used to overcome occlusion effec…
AdversarialNAS: Adversarial Neural Architecture Search for GANs
Chen Gao, Yunpeng Chen, Si Liu +2
Neural Architecture Search (NAS) that aims to automate the procedure of architecture design has achieved promising results in many computer vision fields. In this paper, we propose…