ascal voc 2012
Learnable Tree Filter for Structure-preserving Feature Transform
Lin Song, Yanwei Li, Zeming Li, Gang Yu, Hongbin Sun, Jian Sun, Nanning Zheng
Neural Information Processing Systems http://nips.cc/
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation
Our experimental evaluations demonstrate that this simple modification significantly improves the quality of localization maps on both the P ASCAL VOC 2012 and MS COCO 2014 datasets, exhibiting a new state-of-the-art performance for weakly supervised semantic segmentation.
Learnable Tree Filter for Structure-preserving Feature Transform
Lin Song, Yanwei Li, Zeming Li, Gang Yu, Hongbin Sun, Jian Sun, Nanning Zheng
Learning discriminative global features plays a vital role in semantic segmentation.
Appendix for " Causal Intervention for Weakly-Supervised Semantic Segmentation "
The input image was cropped into a fix size of 512 512 using zero padding if needed.
Causal Intervention for Weakly-Supervised Semantic Segmentation
Specifically, we aim to generate better pixel-level pseudo-masks by using only image-level labels -- the most crucial step in WSSS.
Expansion and Shrinkage of Localization for Weakly-Supervised Semantic Segmentation Anonymous Author(s) Affiliation Address email A Appendix 1 A.1 Additional Analysis 2
We conduct an ablative study that we allow these weights to be updated as well.