Line Detection
36 papers with code • 2 benchmarks • 3 datasets
SEL
NKL
UrduDoc
Most implemented papers
Semantic Line Detection and Its Applications
dongkwonjin/Semantic-Line-SLNet
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ICCV 2017
Then, we develop the line pooling layer to extract a feature vector for each candidate line from the feature maps.
A-Contrario Horizon-First Vanishing Point Detection Using Second-Order Grouping Laws
We show that, in images of man-made environments, the horizon line can usually be hypothesized based on an a contrario detection of second-order grouping events.
Directionally Constrained Fully Convolutional Neural Network For Airborne Lidar Point Cloud Classification
In this paper, we proposed a directionally constrained fully convolutional neural network (D-FCN) that can take the original 3D coordinates and LiDAR intensity as input; thus, it can directly apply to unstructured 3D point clouds for semantic labeling.
Joint Layout Analysis, Character Detection and Recognition for Historical Document Digitization
In this framework, two branches named character branch and layout branch are added behind the feature extraction network.
Deep Learning based Virtual Point Tracking for Real-Time Target-less Dynamic Displacement Measurement in Railway Applications
quickhdsdc/Point-Tracking-for-Displacement-Measurement-in-Railway-Applications
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To tackle this issue, we propose virtual point tracking for real-time target-less dynamic displacement measurement, incorporating deep learning techniques and domain knowledge.
YOLinO: Generic Single Shot Polyline Detection in Real Time
KIT-MRT/YOLinO
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Reformulating the problem of polyline detection as a bottom-up composition of small line segments allows to detect bounded, dashed and continuous polylines with a single head.
iCurb: Imitation Learning-based Detection of Road Curbs using Aerial Images for Autonomous Driving
We find that the visual appearances between road areas and off-road areas are usually different in aerial images, so we propose a novel solution to detect road curbs off-line using aerial images.
SOLD2: Self-supervised Occlusion-aware Line Description and Detection
We thus hereby introduce the first joint detection and description of line segments in a single deep network.
Harmonious Semantic Line Detection via Maximal Weight Clique Selection
dongkwonjin/Semantic-Line-MWCS
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CVPR 2021
A novel algorithm to detect an optimal set of semantic lines is proposed in this work.
ICDAR 2021 Competition on Historical Map Segmentation
Task~2 consists in segmenting map content from the larger map sheet, and was won by the UWB team using a U-Net-like FCN combined with a binarization method to increase detection edge accuracy.
