UTFNet: Uncertainty-Guided Trustworthy Fusion Network for RGB-Thermal Semantic Segmentation

Article Computer Science, Artificial Intelligence

TCCFusion: An infrared and visible image fusion method based on transformer and cross correlation

Wei Tang et al.

Summary: This paper proposes an infrared and visible image fusion method based on Transformer and cross-correlation, called TCCFusion. The method uses a local feature extraction branch and a global feature extraction branch to preserve local and global useful information. A cross-correlation loss is used to train the fusion model. Experimental results show that TCCFusion outperforms state-of-the-art algorithms in both visual quality and quantitative assessments.

PATTERN RECOGNITION (2023)

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Article Robotics

Explicit Attention-Enhanced Fusion for RGB-Thermal Perception Tasks

Mingjian Liang et al.

Summary: RGB-Thermal based perception has made significant progress. Thermal information is valuable when visual cameras face poor lighting conditions. However, effectively fusing RGB images and thermal data remains a challenge.

IEEE ROBOTICS AND AUTOMATION LETTERS (2023)

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Article Geosciences, Multidisciplinary

UGS-1m: fine-grained urban green space mapping of 31 major cities in China based on the deep learning framework

Qian Shi et al.

Summary: A general deep learning framework is proposed for large-scale urban green space (UGS) mapping, and fine-grained UGS maps of 31 major cities in mainland China are generated. The framework includes a generator and a discriminator, and incorporates pre-training and adversarial training for model performance improvement and adaptation to different cities. Evaluation results show that the framework achieves high accuracy and F1 score.

EARTH SYSTEM SCIENCE DATA (2023)

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Proceedings Paper Computer Science, Artificial Intelligence

MetaFusion: Infrared and Visible Image Fusion via Meta-Feature Embedding from Object Detection

Wenda Zhao et al.

Summary: This paper proposes a meta-feature embedding method for infrared and visible image fusion, which is optimized by simulating meta learning. It also implements mutual promotion learning between fusion and detection tasks. Experimental results demonstrate the effectiveness of the proposed method.

2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2023)

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Proceedings Paper Computer Science, Artificial Intelligence

Delivering Arbitrary-Modal Semantic Segmentation

Jiaming Zhang et al.

Summary: Multimodal fusion can enhance the robustness of semantic segmentation. However, there is limited research on fusing an arbitrary number of modalities. To address this issue, the DELIVER benchmark dataset is created, which includes Depth, LiDAR, multiple Views, Events, and RGB modalities. The proposed CMNEXT model achieves state-of-the-art performance on various datasets and allows for scaling from 1 to 81 modalities.

2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR (2023)

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Article Environmental Sciences

Improving RGB-Infrared Object Detection by Reducing Cross-Modality Redundancy

Qingwang Wang et al.

Summary: In the field of remote sensing image applications, object detection using RGB and infrared images is an important technology. This study proposes a redundant information suppression network (RISNet) to enhance the fusion of complementary information between RGB and infrared images. Experimental results show that the proposed method outperforms state-of-the-art approaches, especially in challenging conditions.

REMOTE SENSING (2022)

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Article Geography, Physical

Generating annual high resolution land cover products for 28 metropolises in China based on a deep super-resolution mapping network using Landsat imagery

Da He et al.

Summary: This study addresses the limitations of existing land cover products by proposing a progressive edge-guided super-resolution architecture and an alternating optimization strategy, providing a new approach and perspective for observing urban dynamics and their underlying mechanisms.

GISCIENCE & REMOTE SENSING (2022)

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Article Computer Science, Artificial Intelligence