Learning to See the Invisible: End-to-End Trainable Amodal Instance Segmentation

24 April 2018

Papers citing "Learning to See the Invisible: End-to-End Trainable Amodal Instance Segmentation"

9 / 59 papers shown

Title
Visibility Guided NMS: Efficient Boosting of Amodal Object Detection in Crowded Traffic Scenes Nils Gählert Silvio Uwe Franke Joachim Denzler ObjD 8 20 0 15 Jun 2020
Footprints and Free Space from a Single Color Image Jamie Watson Michael Firman Áron Monszpart Gabriel J. Brostow 3DV 4 19 0 14 Apr 2020
Self-Supervised Scene De-occlusion Xiaohang Zhan Xingang Pan Bo Dai Ziwei Liu Dahua Lin Chen Change Loy 45 138 0 06 Apr 2020
Deep Snake for Real-Time Instance Segmentation Sida Peng W. Jiang Huaijin Pi Xiuli Li Hujun Bao Xiaowei Zhou ISeg SSeg 30 299 0 06 Jan 2020
Visualizing the Invisible: Occluded Vehicle Segmentation and Recovery Xiaosheng Yan Yuanlong Yu Feigege Wang Wenxi Liu Shengfeng He Jianxiong Pan 9 33 0 22 Jul 2019
How to make a pizza: Learning a compositional layer-based GAN model Dim P. Papadopoulos Y. Tamaazousti Ferda Ofli Ingmar Weber Antonio Torralba CoGe GAN 16 41 0 06 Jun 2019
Learning Semantics-aware Distance Map with Semantics Layering Network for Amodal Instance Segmentation Ziheng Zhang Anpei Chen Ling Xie Jingyi Yu Shenghua Gao 16 31 0 30 May 2019
Embodied Visual Recognition Jianwei Yang Zhile Ren Mingze Xu Xinlei Chen David J. Crandall Devi Parikh Dhruv Batra 32 26 0 09 Apr 2019
Acquire, Augment, Segment & Enjoy: Weakly Supervised Instance Segmentation of Supermarket Products P. Follmann Bertram Drost T. Böttger 9 5 0 05 Jul 2018