1 code implementation • 3 Jan 2024 • Ying Lv, Zhi Liu, Gongyang Li
Specifically, we propose a Context-Aware Complementary Reasoning (CACR) module aimed at establishing the complementary relationship between multimodal features with the long-term context in both spatial and channel dimensions.
Ranked #7 on Thermal Image Segmentation on PST900
1 code implementation • 6 Dec 2023 • Gongyang Li, Zhen Bai, Zhi Liu
In the TSCM, we first enhance the position of potential salient regions using semantic features.
1 code implementation • 15 Sep 2023 • Gongyang Li, Zhen Bai, Zhi Liu, Xinpeng Zhang, Haibin Ling
KTM models the contextual correlation knowledge of two middle-level features of different scales based on the self-attention mechanism, and transfers the knowledge to the raw features to generate more discriminative features.
1 code implementation • 27 Jun 2023 • Gongyang Li, Chengjun Han, Zhi Liu
DIB is specifically designed for the feature interaction of the enhanced features.
1 code implementation • 7 Jan 2023 • Gongyang Li, Zhi Liu, Xinpeng Zhang, Weisi Lin
Then, semantic kernels are used to activate salient object locations in two groups of high-level features through dynamic convolution operations in DSMM.
1 code implementation • 26 Oct 2022 • Gongyang Li, Yike Wang, Zhi Liu, Xinpeng Zhang, Dan Zeng
The highlight of LASNet is that we fully consider the characteristics of cross-modal features at different levels, and accordingly propose three specific modules for better segmentation.
Ranked #26 on Thermal Image Segmentation on MFN Dataset
1 code implementation • 25 Mar 2022 • Gongyang Li, Zhi Liu, Dan Zeng, Weisi Lin, Haibin Ling
As the key component of ACCoNet, ACCoM activates the salient regions of output features of the encoder and transmits them to the decoder.
1 code implementation • 20 Jan 2022 • Gongyang Li, Zhi Liu, Zhen Bai, Weisi Lin, and Haibin Ling
Then, following the coarse-to-fine strategy, we generate an initial coarse saliency map from high-level semantic features in a Correlation Module (CorrM).
1 code implementation • 2 Dec 2021 • Gongyang Li, Zhi Liu, Weisi Lin, Haibin Ling
In this paper, we propose a novel Multi-Content Complementation Network (MCCNet) to explore the complementarity of multiple content for RSI-SOD.
1 code implementation • 24 Aug 2021 • Ziqiang Wang, Zhi Liu, Gongyang Li, Yang Wang, Tianhong Zhang, Lihua Xu, Jijun Wang
3D convolutional neural networks have achieved promising results for video tasks in computer vision, including video saliency prediction that is explored in this paper.
1 code implementation • 22 Jan 2021 • Gongyang Li, Zhi Liu, Ran Shi, Zheng Hu, Weijie Wei, Yong Wu, Mengke Huang, Haibin Ling
In this paper, we focus on Personal Fixations-based Object Segmentation (PFOS) to address issues in previous studies, such as the lack of appropriate dataset and the ambiguity in fixations-based interaction.
2 code implementations • ECCV 2020 • Gongyang Li, Zhi Liu, Linwei Ye, Yang Wang, Haibin Ling
In this paper, we propose a novel Cross-Modal Weighting (CMW) strategy to encourage comprehensive interactions between RGB and depth channels for RGB-D SOD.
Ranked #9 on RGB-D Salient Object Detection on NJU2K