A multi-task learning method that exchanges weak supervision between bounding boxes and segmentation masks improves detection and segmentation on partially annotated data.
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Gen- eralist Convolution Kernels
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Box for Mask and Mask for Box: weak losses for multi-task partially supervised learning
A multi-task learning method that exchanges weak supervision between bounding boxes and segmentation masks improves detection and segmentation on partially annotated data.