Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation

By Jordi Pont-Tuset, Pablo Arbeláez, Jonathan T. Barron, Ferran Marqués, Jitendra Malik. 2017

51 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Luc Van Gool
2. Bastian Leibe
3. L. Leal-Taix'e
4. Jitendra Malik
5. Philip H. S. Torr
6. Andrew Zisserman
7. Xiaogang Wang
8. Bernt Schiele

Citations in the corpus

• Hierarchical Object Detection with Deep Reinforcement Learning (2016, methodology): “The traditional solutions for object detection are based on region proposals, such as Selective Search [19], CPMC [3] or MCG [13] and other methods based on sliding windows such as EdgeBoxes [23].”
• Opening up Open World Tracking (2021, methodology): “Open-world instance segmentation was tackled in [76] by combining data-driven [34] and model-based segmentation methods [28, 80].”