1 research outputs found
Non-local RoIs for Instance Segmentation
We introduce the concept of Non-Local RoI (NL-RoI) Block as a generic and
flexible module that can be seamlessly adapted into different Mask R-CNN heads
for various tasks. Mask R-CNN treats RoIs (Regions of Interest) independently
and performs the prediction based on individual object bounding boxes. However,
the correlation between objects may provide useful information for detection
and segmentation. The proposed NL-RoI Block enables each RoI to refer to all
other RoIs' information, and results in a simple, low-cost but effective
module. Our experimental results show that generalizations with NL-RoI Blocks
can improve the performance of Mask R-CNN for instance segmentation on the
Robust Vision Challenge benchmarks.Comment: Robust Vision Challenge 201