Fig. 2.

An Illustration of the overall network architecture. The proposed architecture comprises of ASSM, ESM and AFM based on encoder-decoder structure. (1) ESM is used to further highlight the low-level features in the initial shallow layers of the encoder, and it can capture more detailed information like object boundaries. (2) While ASSM is employed to strengthen high-level semantic information by integrating object mask supervised information into the later stages of the encoder. (3) Finally, AFM is utilized to fuse multi-scale feature maps of different levels in the decoder.