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ACFNet: Adaptively-Cooperative Fusion Network for RGB-D Salient Object Detection

arXiv 2109.04627 ↗First posted 10 Sep 2021cs.CVcited by 0

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Abstract (arXiv)

The reasonable employment of RGB and depth data show great significance in promoting the development of computer vision tasks and robot-environment interaction. However, there are different advantages and disadvantages in the early and late fusion of the two types of data. Besides, due to the diversity of object information, using a single type of data in a specific scenario tends to result in semantic misleading. Based on the above considerations, we propose an adaptively-cooperative fusion network (ACFNet) with ResinRes structure for salient object detection. This structure is designed to flexibly utilize the advantages of feature fusion in early and late stages. Secondly, an adaptively-cooperative semantic guidance (ACG) scheme is designed to suppress inaccurate features in the guidance phase. Further, we proposed a type-based attention module (TAM) to optimize the network and enhance the multi-scale perception of different objects. For different objects, the features generated by different types of convolution are enhanced or suppressed by the gated mechanism for segmentation optimization. ACG and TAM optimize the transfer of feature streams according to their data attributes and convolution attributes, respectively. Sufficient experiments conducted on RGB-D SOD datasets illustrate that the proposed network performs favorably against 18 state-of-the-art algorithms.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 28 of its 64 references that are in the map. First posted on arXiv 10 Sep 2021.

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28 of 64 references.

References · 28

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16 more
  1. 2017Receptive Field Block Net for Accurate and Fast Object Detectioncited by 140
  2. 2019Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarkscited by 133
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  4. 2020Suppress and Balance: A Simple Gated Network for Salient Object Detectioncited by 126
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  16. 2019cmSalGAN: RGB-D Salient Object Detection with Cross-View Generative Adversarial Networkscited by 21

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