Keypoint‐based object detection is one of the most efficient and speedy methods at present, yet its performance is often worse than the anchor‐based method. Without prior settings in the keypoint‐based method, the huge search space of the keypoints results in the high recall but low ...
However, small object detection has always been a key and difficult problem in the field of object detection. Therefore, considering the balance between the effectiveness and efficiency of the small object detection algorithm, this study proposes an improved YOLOX detection algorithm (BGD-YOLOX) to...
Code:https://github.com/MegviiDetection/video_analyst Blog:https://www.cnblogs.com/wangxiaocvpr/p/13158335.html 2. Siamese Keypoint Prediction Network for Visual Object Tracking, Qiang Li, Zekui Qin, Wenbo Zhang, Wen Zheng, arXiv pre-print Paper:https://arxiv.org/pdf/2006.04078.pdf Code:...
As far as we know, only survey [14] is closely relevant to this paper, but it fails to track the latest datasets (e.g., nuScenes [37], and Waymo Open [7]), algorithms (e.g., the best algorithm it reports on KITII [8] 3D detection benchmark is AVOD [31][IROS′18: 71.88] ...
A GUI based workbench is also provided to help model and train neural networks. GeneticSharp - Multi-platform genetic algorithm library for .NET Core and .NET Framework. The library has several implementations of GA operators, like: selection, crossover, mutation, reinsertion and termination. ...
Algorithm Analysis and Problem Complexity Information Systems Applications (incl. Internet) Keywords Keypoint detector Local features Industry Sectors Pharma Materials & Steel Automotive Biotechnology Electronics IT & Software Telecommunications Consumer Packaged Goods Aerospace Engineering Editors...
We propose a novel bottom-up point cloud-based 3D bounding box proposal generation algorithm, which generates a small number of high-quality 3D proposals via segmenting the point cloud into foreground objects and background. The learned point representation from segmentation is not only good at prop...
[2015 TGRS] SAR-SIFT: A SIFT-LIKE ALGORITHM FOR SAR IMAGES [2017 GRSL] Remote Sensing Image Registration With Modified SIFT and Enhanced Feature Matching [2017 CVPR] GMS :Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence ...
To address the problem of associating poses across frames, we devised a tracking algorithm that operates on grouped instances generated from the multi-animal pose estimation. The general tracking algorithm in SLEAP follows the standard multi-object tracking procedure. In brief, for each frame, we ...
Montemerlo, Michael, et al. "FastSLAM 2.0: An improved particle filtering algorithm for simultaneous localization and mapping that provably converges." IJCAI. 2003. 📷 3D Visual Based SLAM (Mono) "MonoSLAM":https://github.com/hanmekim/SceneLib2Feature + EKF ...