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This paper presents a visual SLAM system that uses both points and lines for robust camera
localization, and simultaneously performs a piece-wise planar reconstruction (PPR) of the …

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Planeseg: Building a plug-in for boosting planar region segmentation

Z Zhang, S Chen, Z Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org

Existing methods in planar region segmentation suffer the problems of vague boundaries
and failure to detect small-sized regions. To address these, this study presents an end-to …

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[HTML][HTML] A high-resolution panchromatic-multispectral satellite image fusion method assisted with building segmentation

F Gao, Y Li, P Zhang, Y Zhai, Y Zhang, Y Yang… - Computers & …, 2022 - Elsevier

The main difficulty of panchromatic-multispectral image fusion is to balance the quality of
spatial information and the spectral fidelity. Most of the practical fusion methods determine …

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Planerecnet: Multi-task learning with cross-task consistency for piece-wise plane detection and reconstruction from a single rgb image

Y ** using cues from an instance planar segmentation network. While the mainstream …

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A multi-source feature extraction network for salient object detection

K Xu, J Guo - Neural Computing and Applications, 2023 - Springer

Salient object detection (SOD) must capture the multi-level features from both global and
local view. Furthermore, interiors and boundaries of salient objects must be processed …

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Disf: Dynamic instance segmentation with semantic features

H Dong, G Wang - 2022 26th International Conference on …, 2022 - ieeexplore.ieee.org

In this work, we propose a flexible and efficient instance segmentation framework, termed
DISF (Dynamic Instance Segmentation with Semantic Features), which is a more novel two …

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[HTML][HTML] Bilateral transformer 3D planar recovery

F Ren, C Liao, Z **e - Graphical Models, 2024 - Elsevier

In recent years, deep learning based methods for single image 3D planar recovery have
made significant progress, but most of the research has focused on overall plane …

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PlaneSAM: Multimodal Plane Instance Segmentation Using the Segment Anything Model

Z Deng, Z Yang, C Chen, C Zeng, Y Meng… - arxiv preprint arxiv …, 2024 - arxiv.org

Plane instance segmentation from RGB-D data is a crucial research topic for many
downstream tasks. However, most existing deep-learning-based methods utilize only …

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X-PDNet: Accurate Joint Plane Instance Segmentation and Monocular Depth Estimation with Cross-Task Distillation and Boundary Correction

CD Duc, J Lim - arxiv preprint arxiv:2309.08424, 2023 - arxiv.org

Segmentation of planar regions from a single RGB image is a particularly important task in
the perception of complex scenes. To utilize both visual and geometric properties in images …

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Planeseg: Building a plug-in for boosting planar region segmentation

[HTML][HTML] A high-resolution panchromatic-multispectral satellite image fusion method assisted with building segmentation

Planerecnet: Multi-task learning with cross-task consistency for piece-wise plane detection and reconstruction from a single rgb image

A multi-source feature extraction network for salient object detection

Disf: Dynamic instance segmentation with semantic features

[HTML][HTML] Bilateral transformer 3D planar recovery

PlaneSAM: Multimodal Plane Instance Segmentation Using the Segment Anything Model

X-PDNet: Accurate Joint Plane Instance Segmentation and Monocular Depth Estimation with Cross-Task Distillation and Boundary Correction