Figure3

SANet: scale-adaptive network for lightweight salient object detection

Figure 3. Overall encoder-decoder architecture of the proposed SANet. Ei represents the encoder at the i-th stage. Di indicates the decoder at the i-th stage. Si and Ri denote the output feature maps of the encoder and the decoder at the i-th stage, respectively. Pi stands for the predicted saliency map, and P1 is the final prediction result. G is the ground-truth saliency map. PPM: Pyramid pooling module; MFA: multi-scale feature aggregation.

Intelligence & Robotics
ISSN 2770-3541 (Online)
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