Attention-based Dual Supervised Decoder for RGBD Semantic Segmentation
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Abstract (arXiv)
Encoder-decoder models have been widely used in RGBD semantic segmentation, and most of them are designed via a two-stream network. In general, jointly reasoning the color and geometric information from RGBD is beneficial for semantic segmentation. However, most existing approaches fail to comprehensively utilize multimodal information in both the encoder and decoder. In this paper, we propose a novel attention-based dual supervised decoder for RGBD semantic segmentation. In the encoder, we design a simple yet effective attention-based multimodal fusion module to extract and fuse deeply multi-level paired complementary information. To learn more robust deep representations and rich multi-modal information, we introduce a dual-branch decoder to effectively leverage the correlations and complementary cues of different tasks. Extensive experiments on NYUDv2 and SUN-RGBD datasets demonstrate that our method achieves superior performance against the state-of-the-art methods.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 37 of its 60 references that are in the map. First posted on arXiv 5 Jan 2022.
Builds on
37 of 60 references.
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25 more
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Built on by
Citing papers per year: 2022: 1; 2023: 3; 2024: 2.
6 papers.
- 2023ChatBridge: Bridging Modalities with Large Language Model as a Language Catalystcited by 64
- 2024SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Trackingcited by 43
- 2023Pixel Difference Convolutional Network for RGB-D Semantic Segmentationcited by 13
- 2023Impact of Pseudo Depth on Open World Object Segmentation with Minimal User Guidancecited by 4
- 2022Efficient Semantic Segmentation on Edge Devicescited by 1
- 2024CSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving Scenescited by 1
- 2024CSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving Scenes1 Jul 2024
- 2024SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Tracking24 Mar 2024
- 2023ChatBridge: Bridging Modalities with Large Language Model as a Language Catalyst25 May 2023
- 2023Impact of Pseudo Depth on Open World Object Segmentation with Minimal User Guidance12 Apr 2023
- 2023Pixel Difference Convolutional Network for RGB-D Semantic Segmentation23 Feb 2023
- 2022Efficient Semantic Segmentation on Edge Devices28 Dec 2022