MTI-Net: Multi-scale Task Interaction Networks for Multi-task Learning
- 29 October 2020
- book chapter
- Published by Springer Nature
- p. 527-543
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This publication has 36 references indexed in Scilit:
- Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation2018
- Dynamic Task Prioritization for Multitask Learning2018
- BlitzNet: A Real-Time Deep Network for Scene Understanding2017
- Mask R-CNN2017
- Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-scale Convolutional Architecture2015
- Fast R-CNN2015
- Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts2014
- Learning Rich Features from RGB-D Images for Object Detection and Segmentation2014
- The Pascal Visual Object Classes (VOC) ChallengeInternational Journal of Computer Vision, 2009
- Multitask LearningMachine Learning, 1997