BBS-Net: RGB-D Salient Object Detection with a Bifurcated Backbone Strategy Network

1 code implementation • ECCV 2020 • Deng-Ping Fan, Yingjie Zhai, Ali Borji, Jufeng Yang, Ling Shao

In particular, we 1) propose a bifurcated backbone strategy (BBS) to split the multi-level features into teacher and student features, and 2) utilize a depth-enhanced module (DEM) to excavate informative parts of depth cues from the channel and spatial views.

object-detection RGB-D Salient Object Detection +1

Context-Guided Spatial Feature Reconstruction for Efficient Semantic Segmentation

1 code implementation • 10 May 2024 • ZhenLiang Ni, Xinghao Chen, Yingjie Zhai, Yehui Tang, Yunhe Wang

Specifically, it achieves $43. 6\%$ mIoU on ADE20K with only $4. 0$ GFLOPs, which is $0. 9\%$ and $2. 5\%$ mIoU better than SeaFormer and SegNeXt but with about $38. 0\%$ fewer GFLOPs.

Bifurcated backbone strategy for RGB-D salient object detection

2 code implementations • 6 Jul 2020 • Yingjie Zhai, Deng-Ping Fan, Jufeng Yang, Ali Borji, Ling Shao, Junwei Han, Liang Wang

In particular, first, we propose to regroup the multi-level features into teacher and student features using a bifurcated backbone strategy (BBS).

Object object-detection +3