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Licence Agreement

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• ContextNet, a deep neural network architecture for competitive semantic segmentation, created by R. P. K. Poudel, U. Bonde, S. Liwicki and C. Zach and as more fully described in the publication at the Appendix (Work); and
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Agreed Terms

1. GRANT AND SCOPE OF LICENCE

1.1 In consideration of you agreeing to abide by the terms of this Agreement, and subject to the restrictions in clause 2, we hereby grant the following non-exclusive, royalty free, worldwide and non-transferable rights to you:

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2. RESTRICTIONS

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5. LIMITATION OF LIABILITY

5.1 Our liability under or in connection with this Agreement (whether in contract, tort, including negligence, or otherwise) is limited, subject to clause 5.2, as follows:

(a) we will have no liability for any loss of profits, loss of business, loss of goodwill, loss of anticipated savings, loss of or corruption to data or for any indirect or consequential loss or damage;

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6. TERMINATION

6.1 This Agreement, and the Licence herein, will terminate immediately (a) if you breach any or all terms of this Agreement; or (b) if the licence between us and any third party (including Apache and TensorFlow) terminates for any reason.

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7. COMMUNICATIONS BETWEEN US

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8. GENERAL

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8.7 This Agreement is governed by English law. The courts of England shall have exclusive jurisdiction to settle any dispute or claim that arises out of or in connection with this Agreement, however we are entitled to apply to any court worldwide for injunctive or other remedies in order to protect or enforce our intellectual property rights in the Work and Documentation.

APPENDIX

1. References to the Work in research papers and other media, must cite our preferred publication:

ContextNet: Exploring Context and Detail for Semantic Segmentation in Real-time

R. P. K. Poudel, U. Bonde, S. Liwicki and C. Zach

BMVC 2018

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2. Any part of the Work that is labelled as third party work (including Apache and TensorFlow) is subject to the following terms:

Copyright 2018 The TensorFlow Authors All Rights Reserved.

BMVC 2020

Any part of the Work that is labelled as third party work (including Apache and TensorFlow) is subject to the following terms:

Copyright 2018 The TensorFlow Authors All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");

You may not use this file except in compliance with the License.

You may obtain a copy of the License at:

www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

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