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GroupTransNet: Group Transformer Network for RGB-D Salient Object Detection
The features of the intermediate process are first fused by the features of different layers, and then processed by several transformers in multiple groups, which not only makes the size of the features of each scale unified and interrelated, but also achieves the effect of sharing the weight of the features within the group.
LC3Net: Ladder context correlation complementary network for salient object detection
Currently, existing salient object detection methods based on convolutional neural networks commonly resort to constructing discriminative networks to aggregate high level and low level features.
M2RNet: Multi-modal and Multi-scale Refined Network for RGB-D Salient Object Detection
The adjacent interactive aggregation module (AIAM) gradually integrates the neighbor features of high, middle and low levels.
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