Deep-learning-based face detection using iterative bounding-box regression
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-5658-5
Abstract: Multi-view face detection in open environments is a challenging task due to the diverse variations of face appearances and occlusion. In the task of face detection, localization accuracy is one of the key factors. However,… read more here.
Keywords: detection; bounding box; box regression; localization ... See more keywords
Stereo vision based obstacle collision avoidance for a quadrotor using ellipsoidal bounding box and hierarchical clustering
Sign Up to like & getrecommendations! Published in 2020 at "Aerospace Science and Technology"
DOI: 10.1016/j.ast.2020.105882
Abstract: Abstract A collision avoidance algorithm for multiple unknown static obstacles is proposed for a quadrotor system. A stereo vision system with a limited field of view and sensing range is assumed to be mounted on… read more here.
Keywords: quadrotor; bounding box; collision; stereo vision ... See more keywords
A Hierarchical Safety Control Strategy for Exoskeleton Robot Based on Maximum Correntropy Kalman Filter and Bounding Box
Sign Up to like & getrecommendations! Published in 2019 at "Robotica"
DOI: 10.1017/s0263574719001073
Abstract: Summary Exoskeleton robots have been widely used in many fields at present. When wearing the exoskeleton to operate, the wearer may be unconscious of the position of exoskeleton or affected by the surrounding environment, causing… read more here.
Keywords: maximum correntropy; bounding box; hierarchical safety; safety control ... See more keywords
Vector encoded bounding box regression for detecting remote-sensing objects with anchor-free methods
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2020.1811918
Abstract: ABSTRACT We propose a novel convolutional neural network architecture used for detecting objects in high-resolution remote-sensing images. Different from previous detectors, our method is totally anchor-free. In the architecture, we design a new regression method… read more here.
Keywords: regression; vector encoded; bounding box; encoded bounding ... See more keywords
Affine Geometrical Region CNN for Object Tracking
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2986498
Abstract: The state-of-the-art trackers using deep learning technology have little special strategy to gain the bounding box well when the target suffers drastic geometric deformation. In this paper, we take full use of the convolutional neural… read more here.
Keywords: region cnn; transformation; bounding box; affine transformation ... See more keywords
Research on Siamese Object Tracking Algorithm Based on Knowledge Distillation in Marine Environment
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3279314
Abstract: Siamese networks have gained considerable attention for object tracking due to their balance of speed and accuracy. However, existing Siamese tracking algorithms have been too rigid in their predictions of bounding box tags and lack… read more here.
Keywords: object tracking; network; distillation; accuracy ... See more keywords
Break Through the Border Restriction of Horizontal Bounding Box for Arbitrary-Oriented Ship Detection in SAR Images
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2023.3270897
Abstract: Substantial progress has been made in detecting ships of arbitrary orientation in synthetic aperture radar (SAR) images. However, the mainstream method is still limited by the horizontal bounding box (HBB) boundary, which cannot provide scaling… read more here.
Keywords: bounding box; detection; horizontal bounding; sar images ... See more keywords
OPA-3D: Occlusion-Aware Pixel-Wise Aggregation for Monocular 3D Object Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2023.3238137
Abstract: Monocular 3D object detection has recently made a significant leap forward thanks to the use of pre-trained depth estimators for pseudo-LiDAR recovery. Yet, such two-stage methods typically suffer from overfitting and are incapable of explicitly… read more here.
Keywords: monocular object; stream; geometry; detection ... See more keywords
Utilizing Bounding Box Annotations for Weakly Supervised Building Extraction From Remote-Sensing Images
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3271986
Abstract: Image-level weakly supervised semantic segmentation (WSSS) methods have greatly facilitated the extraction of buildings from remote-sensing (RS) images. However, the lack of the locations and extent of individual buildings in image-level labels results in some… read more here.
Keywords: remote sensing; weakly supervised; extraction; building ... See more keywords
Accurate Bounding Box Prediction for Single-Shot Object Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3138336
Abstract: Accurate single-shot object detection is an extremely challenging task in real environments because of complex scenes, occlusion, ambiguities, blur, and shadow, i.e., these factors are called uncertainty problem. It leads to unreliable labeling of bounding… read more here.
Keywords: bounding box; localization; detection; single shot ... See more keywords
Quality Inspection Based on Quadrangular Object Detection for Deep Aperture Component
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2019.2956776
Abstract: This article focuses on automatic inspection for the commonly used component called spring-wire socket. An automatic inspection system is built that adopts an endoscope to improve the imaging quality. To detect the low contrast targets… read more here.
Keywords: quality; detection; network; bounding box ... See more keywords