Superpixel-Based Tracking-By-Segmentation Using Markov Chains

no code implementations • CVPR 2017 • Donghun Yeo, Jeany Son, Bohyung Han, Joon Hee Han

We propose a simple but effective tracking-by-segmentation algorithm using Absorbing Markov Chain (AMC) on superpixel segmentation, where target state is estimated by a combination of bottom-up and top-down approaches, and target segmentation is propagated to subsequent frames in a recursive manner.

graph construction Segmentation +1

Weakly Supervised Semantic Segmentation using Web-Crawled Videos

no code implementations • CVPR 2017 • Seunghoon Hong, Donghun Yeo, Suha Kwak, Honglak Lee, Bohyung Han

Our goal is to overcome this limitation with no additional human intervention by retrieving videos relevant to target class labels from web repository, and generating segmentation labels from the retrieved videos to simulate strong supervision for semantic segmentation.

Image Classification Segmentation +2