Learning to Segment Every Thing

Learning to Segment Every Thing

28 November 2017

Piotr Dollár

Ross B. Girshick

Papers citing "Learning to Segment Every Thing"

12 / 62 papers shown

Title
Parsing R-CNN for Instance-Level Human Analysis Lu Yang Q. Song Zhihui Wang Ming Jiang SSeg 56 122 0 30 Nov 2018
One-Shot Instance Segmentation Claudio Michaelis Ivan Ustyuzhaninov Matthias Bethge Alexander S. Ecker ISeg 37 89 0 28 Nov 2018
Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-to-Image Translation Matteo Tomei Marcella Cornia Lorenzo Baraldi Rita Cucchiara DiffM 17 76 0 26 Nov 2018
Activation Functions: Comparison of trends in Practice and Research for Deep Learning S. Bodenstedt Dominik Rivoir A. Gachagan S. T. Mees 31 1,269 0 08 Nov 2018
Hybrid Knowledge Routed Modules for Large-scale Object Detection Chenhan Jiang Hang Xu Xiangdan Liang Liang Lin VLM ObjD 39 86 0 30 Oct 2018
Diagnostics in Semantic Segmentation Vladimir Nekrasov Chunhua Shen Ian Reid VLM SSeg 17 3 0 27 Sep 2018
Faithful Multimodal Explanation for Visual Question Answering Jialin Wu Raymond J. Mooney 20 90 0 08 Sep 2018
Deep Learning for Generic Object Detection: A Survey Li Liu Wanli Ouyang Xiaogang Wang Paul Fieguth Jie Chen Xinwang Liu M. Pietikäinen ObjD VLM OOD 77 2,427 0 06 Sep 2018
Invariant Information Clustering for Unsupervised Image Classification and Segmentation Xu Ji João F. Henriques Andrea Vedaldi SSL VLM 33 841 0 17 Jul 2018
Cross-connected Networks for Multi-task Learning of Detection and Segmentation Seiichiro Fukuda Ryota Yoshihashi Rei Kawakami Shaodi You M. Iida T. Naemura 21 15 0 15 May 2018
An Accurate and Real-time Self-blast Glass Insulator Location Method Based On Faster R-CNN and U-net with Aerial Images Zenan Ling Robert C. Qiu Zhijian Jin Yuhang Zhang Xing He Haichun Liu L. Chu 26 48 0 16 Jan 2018
A Learned Representation For Artistic Style Vincent Dumoulin Jonathon Shlens M. Kudlur GAN 214 1,156 0 24 Oct 2016