Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
XML PDF e-pub
PDF e-Pub

Section: New Software and Platforms

M-CNN: Weakly-Supervised Semantic Segmentation using Motion Cues

Participants : Pavel Tokmakov, Cordelia Schmid, Karteek Alahari.

This is a public implementation of the method described inĀ [23]. It includes a framework for integrating motion cues into training a deep network for weakly-supervised semantic segmentation, code for data preprocessing and trained models that correspond to the results reported in the paper. Our code is built on top of DeepLab extension of the Caffe deep learning framework