676 citations · 1.4k across the 27 of their papers we have counts for
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3 papers · 1 filter
cs.CV2017
Hierarchical Scene Parsing by Weakly Supervised Learning with Image Descriptions
Ruimao Zhang, Liang Lin, Guangrun Wang +2
This paper investigates a fundamental problem of scene understanding: how to parse a scene image into a structured configuration (i.e., a semantic object hierarchy with object inte…
cs.CV2017★ 1 cited
Progressively Diffused Networks for Semantic Image Segmentation
Ruimao Zhang, Wei Yang, Zhanglin Peng +2
This paper introduces Progressively Diffused Networks (PDNs) for unifying multi-scale context modeling with deep feature learning, by taking semantic image segmentation as an exemp…
cs.CV2017★ 676 cited
Cost-Effective Active Learning for Deep Image Classification
Keze Wang, Dongyu Zhang, Ya Li +2
Recent successes in learning-based image classification, however, heavily rely on the large number of annotated training samples, which may require considerable human efforts. In t…