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Visual semantic segmentation based on few/zero-shot learning: An overview
Visual semantic segmentation aims at separating a visual sample into diverse blocks with
specific semantic attributes and identifying the category for each block, and it plays a crucial …
specific semantic attributes and identifying the category for each block, and it plays a crucial …
Not all points are equal: Learning highly efficient point-based detectors for 3d lidar point clouds
Y Zhang, Q Hu, G Xu, Y Ma, J Wan… - Proceedings of the …, 2022 - openaccess.thecvf.com
We study the problem of efficient object detection of 3D LiDAR point clouds. To reduce the
memory and computational cost, existing point-based pipelines usually adopt task-agnostic …
memory and computational cost, existing point-based pipelines usually adopt task-agnostic …
Segment any point cloud sequences by distilling vision foundation models
Recent advancements in vision foundation models (VFMs) have opened up new
possibilities for versatile and efficient visual perception. In this work, we introduce Seal, a …
possibilities for versatile and efficient visual perception. In this work, we introduce Seal, a …
RoReg: Pairwise point cloud registration with oriented descriptors and local rotations
We present RoReg, a novel point cloud registration framework that fully exploits oriented
descriptors and estimated local rotations in the whole registration pipeline. Previous …
descriptors and estimated local rotations in the whole registration pipeline. Previous …
[HTML][HTML] HCPNet: Learning discriminative prototypes for few-shot remote sensing image scene classification
J Zhu, K Yang, N Guan, X Yi, C Qiu - International Journal of Applied Earth …, 2023 - Elsevier
Few-shot learning is an important and challenging research topic for remote sensing image
scene classification. Many existing approaches address this challenge by using meta …
scene classification. Many existing approaches address this challenge by using meta …
Towards DDoS attack detection using deep learning approach
Due to the extensive use and evolution in the cyber world, different network attacks have
recently increased significantly. Distributed Denial-of-Service (DDoS) attack has become …
recently increased significantly. Distributed Denial-of-Service (DDoS) attack has become …
Stpls3d: A large-scale synthetic and real aerial photogrammetry 3d point cloud dataset
Although various 3D datasets with different functions and scales have been proposed
recently, it remains challenging for individuals to complete the whole pipeline of large-scale …
recently, it remains challenging for individuals to complete the whole pipeline of large-scale …
Cad-signet: Cad language inference from point clouds using layer-wise sketch instance guided attention
Reverse engineering in the realm of Computer-Aided Design (CAD) has been a
longstanding aspiration though not yet entirely realized. Its primary aim is to uncover the …
longstanding aspiration though not yet entirely realized. Its primary aim is to uncover the …
[HTML][HTML] Intrusion detection system for cyberattacks in the Internet of Vehicles environment
MS Korium, M Saber, A Beattie, A Narayanan, S Sahoo… - Ad hoc networks, 2024 - Elsevier
This paper presents a novel framework for intrusion detection specially designed for
cyberattacks, such as Denial-of-Service, Distributed Denial-of-Service, Distributed Reflection …
cyberattacks, such as Denial-of-Service, Distributed Denial-of-Service, Distributed Reflection …
Anomaly detection in 3d point clouds using deep geometric descriptors
P Bergmann, D Sattlegger - Proceedings of the IEEE/CVF …, 2023 - openaccess.thecvf.com
We present a new method for the unsupervised detection of geometric anomalies in high-
resolution 3D point clouds. In particular, we propose an adaptation of the established …
resolution 3D point clouds. In particular, we propose an adaptation of the established …