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Found 8 papers, 2 papers with code
ScAR: Scaling Adversarial Robustness for LiDAR Object Detection
Universal adversarial attack methods such as Fast Sign Gradient Method (FSGM) and Projected Gradient Descend (PGD) are popular for LiDAR object detection, but they are often deficient compared to task-specific adversarial attacks.
Strong-Weak Integrated Semi-supervision for Unsupervised Single and Multi Target Domain Adaptation
The extension from single-target to multi-target domain adaptation is accomplished by exploring the class-wise distance relationship between domains and replacing the strong representative set with much stronger samples from peer domains via peer scaffolding.
3D Iterative Spatiotemporal Filtering for Classification of Multitemporal Satellite Data Sets
The current practice in land cover/land use change analysis relies heavily on the individually classified maps of the multitemporal data set.
Geometry-Aware Satellite-to-Ground Image Synthesis for Urban Areas
We present a novel method for generating panoramic street-view images which are geometrically consistent with a given satellite image.
A Comparison of Stereo-Matching Cost between Convolutional Neural Network and Census for Satellite Images
Stereo dense image matching can be categorized to low-level feature based matching and deep feature based matching according to their matching cost metrics.
Using Orthophoto for Building Boundary Sharpening in the Digital Surface Model
Nowadays dense stereo matching has become one of the dominant tools in 3D reconstruction of urban regions for its low cost and high flexibility in generating dense 3D points.
Fast 3D Line Segment Detection From Unorganized Point Cloud
This paper presents a very simple but efficient algorithm for 3D line segment detection from large scale unorganized point cloud.
Learning to Refine Object Contours with a Top-Down Fully Convolutional Encoder-Decoder Network
We develop a novel deep contour detection algorithm with a top-down fully convolutional encoder-decoder network.
