Reducing the Annotation Effort for Video Object Segmentation Datasets

2 November 2020

Papers citing "Reducing the Annotation Effort for Video Object Segmentation Datasets"

8 / 8 papers shown

Title
MeViS: A Large-scale Benchmark for Video Segmentation with Motion Expressions Henghui Ding Chang Liu Shuting He Xudong Jiang Chen Change Loy VOS 44 101 0 16 Aug 2023
BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in Video A. Athar Jonathon Luiten P. Voigtlaender Tarasha Khurana Achal Dave Bastian Leibe Deva Ramanan VOS VLM 16 57 0 25 Sep 2022
Multiple Object Tracking in Recent Times: A Literature Review Mk Bashar Samia Islam Kashifa Kawaakib Hussain Md. Bakhtiar Hasan A. A. Ashikur Rahman M. H. Kabir VOT 38 23 0 11 Sep 2022
MinVIS: A Minimal Video Instance Segmentation Framework without Video-based Training De-An Huang Zhiding Yu Anima Anandkumar VLM 42 78 0 03 Aug 2022
HODOR: High-level Object Descriptors for Object Re-segmentation in Video Learned from Static Images A. Athar Jonathon Luiten Alexander Hermans Deva Ramanan Bastian Leibe VOS 22 25 0 16 Dec 2021
Generating Masks from Boxes by Mining Spatio-Temporal Consistencies in Videos Bin Zhao Goutam Bhat Martin Danelljan Luc Van Gool Radu Timofte VOS 34 16 0 06 Jan 2021
STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos A. Athar Sabarinath Mahadevan Aljosa Osep Laura Leal-Taixé Bastian Leibe VOS 77 170 0 18 Mar 2020
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation Jiwoon Ahn Suha Kwak 232 740 0 28 Mar 2018