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AinnoSeg: Panoramic Segmentation with High Perfomance | | Jiahong Wu
; Jianfei Lu
; Xinxin Kang
; Yiming Zhang
; Yinhang Tang
; Jianfei Song
; Ze Huang
; Shenglan Ben
; Jiashui Huang
; Faen Zhang
; | | Date: |
21 Jul 2020 | | Abstract: | Panoramic segmentation is a scene where image segmentation tasks is more
difficult. With the development of CNN networks, panoramic segmentation tasks
have been sufficiently developed.However, the current panoramic segmentation
algorithms are more concerned with context semantics, but the details of image
are not processed enough. Moreover, they cannot solve the problems which
contains the accuracy of occluded object segmentation,little object
segmentation,boundary pixel in object segmentation etc. Aiming to address these
issues, this paper presents some useful tricks. (a) By changing the basic
segmentation model, the model can take into account the large objects and the
boundary pixel classification of image details. (b) Modify the loss function so
that it can take into account the boundary pixels of multiple objects in the
image. (c) Use a semi-supervised approach to regain control of the training
process. (d) Using multi-scale training and reasoning. All these operations
named AinnoSeg, AinnoSeg can achieve state-of-art performance on the well-known
dataset ADE20K. | | Source: | arXiv, 2007.10591 | | Services: | Forum | Review | PDF | Favorites | |
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