8 citations · 23 across the 6 of their papers we have counts for
Showing 2017Show all
3 papers · 1 filter
cs.RO2017★ 5 cited
Semantic Segmentation from Limited Training Data
A. Milan, T. Pham, K. Vijay +22
We present our approach for robotic perception in cluttered scenes that led to winning the recent Amazon Robotics Challenge (ARC) 2017. Next to small objects with shiny and transpa…
cs.CV2017
Weakly Supervised Semantic Segmentation Based on Web Image Co-segmentation
Tong Shen, Guosheng Lin, Lingqiao Liu +2
Training a Fully Convolutional Network (FCN) for semantic segmentation requires a large number of masks with pixel level labelling, which involves a large amount of human labour an…
cs.CV2017★ 2 cited
Learning Multi-level Region Consistency with Dense Multi-label Networks for Semantic Segmentation
Tong Shen, Guosheng Lin, Chunhua Shen +1
Semantic image segmentation is a fundamental task in image understanding. Per-pixel semantic labelling of an image benefits greatly from the ability to consider region consistency…