EpO-Net: Exploiting Geometric Constraints on Dense Trajectories for Motion Saliency

29 September 2019

Papers citing "EpO-Net: Exploiting Geometric Constraints on Dense Trajectories for Motion Saliency"

8 / 8 papers shown

Title
Segment Any Motion in Videos Nan Huang Wenzhao Zheng Chenfeng Xu Kurt Keutzer Shanghang Zhang Angjoo Kanazawa Qianqian Wang VOS 72 0 0 28 Mar 2025
The 2018 DAVIS Challenge on Video Object Segmentation Sergi Caelles Alberto Montes Kevis-Kokitsi Maninis Yuhua Chen Luc Van Gool Federico Perazzi Jordi Pont-Tuset VGen VOS 91 120 0 01 Mar 2018
Revisiting Video Saliency: A Large-scale Benchmark and a New Model Wenguan Wang Jianbing Shen Fang Guo Ming-Ming Cheng Ali Borji VLM 37 264 0 23 Jan 2018
Learning to Segment Moving Objects P. Tokmakov Cordelia Schmid Alahari Karteek VOS 47 97 0 01 Dec 2017
SegFlow: Joint Learning for Video Object Segmentation and Optical Flow Jingchun Cheng Yi-Hsuan Tsai Shengjin Wang Ming-Hsuan Yang VOS 51 415 0 20 Sep 2017
Learning Video Object Segmentation with Visual Memory P. Tokmakov Alahari Karteek Cordelia Schmid VOS 44 325 0 19 Apr 2017
Super-Trajectory for Video Segmentation Wenguan Wang Jianbing Shen Jianwen Xie Fatih Porikli VOS 44 46 0 28 Feb 2017
Learning to Refine Object Segments Pedro H. O. Pinheiro Nayeon Lee R. Collobert Piotr Dollàr SSeg 62 855 0 29 Mar 2016