Aug 12, 2021 · We propose an RGB-D SOD model using a three-input multilevel fusion network (TMFNet), which differs from existing methods based on double-stream networks.

The proposed TMFNet achieves state-of- the-art performance on six benchmark datasets for SOD. Index Terms—RGB-D image, salient object detection (SOD), three- ...

The RGBD input generates multilevel features that reflect details of the RGB-D image. In addition, the proposed TMFNet aggregates diverse region-based ...

This is a survey to review related RGB-D SOD models along with benchmark datasets, and provide a comprehensive evaluation for these models.

TMFNet: Three-Input Multilevel Fusion Network for Detecting Salient Objects in RGB-D Images. Wujie Zhou, Sijia Pan, Jingsheng Lei, Lu Yu.

Mar 15, 2023 · Cross-modality salient object detection (SOD) mainly includes RGB-D salient object detection and RGB-T salient object detection.

... Three-Input Multilevel Fusion Network for Detecting Salient Objects in RGB-D Images ... input), the RGB image and depth map are combined into a four-channel ...

In this paper, to minimize interference in depth mapping and emphasize prominent objects in RGB images, we put forward a layered interactive attention network ( ...

W. Zhou, S. Pan, J. Lei, L. Y, TMFNet: Three-input multilevel fusion network for detecting salient objects in RGB-D images,IEEE Transactions on Emerging Topics ...

Yu, “Tmfnet: Three-input multilevel fusion network for detecting salient objects in rgb-d images,” IEEE. Transactions on Emerging Topics in Computational ...