Papers Body Detection
“Body Detection” 태그가 달린 논문 18편 · 필터 해제
DI3CL: Contrastive Learning With Dynamic Instances and Contour Consistency for SAR Land-Cover Classification Foundation Model
Although significant advances have been achieved in SAR land-cover classification, recent methods remain predominantly focused on supervised learning, which relies heavily on extensive labeled datasets. This dependency n…
Contrastive LearningBody DetectionU-NetMN and SegNetMN: Modified U-Net and SegNet models for bimodal SAR image segmentation
Segmenting Synthetic Aperture Radar (SAR) images is crucial for many remote sensing applications, particularly water body detection. However, deep learning-based segmentation models often face challenges related to conve…
Body DetectionComputational EfficiencyImage SegmentationSegmentation+1Towards the THz Networks in the 6G Era
This commentary dedicates to envision what role THz is going to play in the coming human-centric 6G era. Three distinct THz network types including outdoor, indoor, and body area networks are discussed, with an emphasis …
Body DetectionBenchCloudVision: A Benchmark Analysis of Deep Learning Approaches for Cloud Detection and Segmentation in Remote Sensing Imagery
Satellites equipped with optical sensors capture high-resolution imagery, providing valuable insights into various environmental phenomena. In recent years, there has been a surge of research focused on addressing some c…
Body DetectionCloud DetectionDisaster ResponseSegmentation+1Whole-body Detection, Recognition and Identification at Altitude and Range
In this paper, we address the challenging task of whole-body biometric detection, recognition, and identification at distances of up to 500m and large pitch angles of up to 50 degree. We propose an end-to-end system eval…
Body DetectionTARWearable data from subjects playing Super Mario, sitting university exams, or performing physical exercise help detect acute mood episodes via self-supervised learning
Personal sensing, leveraging data passively and near-continuously collected with wearables from patients in their ecological environment, is a promising paradigm to monitor mood disorders (MDs), a major determinant of wo…
Body DetectionEmotion RecognitionSelf-Supervised LearningFast spline detection in high density microscopy data
Computer-aided analysis of biological microscopy data has seen a massive improvement with the utilization of general-purpose deep learning techniques. Yet, in microscopy studies of multi-organism systems, the problem of …
Body DetectionOverlapping Pose EstimationDensePose From WiFi
Advances in computer vision and machine learning techniques have led to significant development in 2D and 3D human pose estimation from RGB cameras, LiDAR, and radars. However, human pose estimation from images is advers…
3D Human Pose EstimationBody DetectionPose EstimationPrivacy PreservingDomain-Adaptive Self-Supervised Pre-Training for Face & Body Detection in Drawings
Drawings are powerful means of pictorial abstraction and communication. Understanding diverse forms of drawings, including digital arts, cartoons, and comics, has been a major problem of interest for the computer vision …
Body DetectionFace DetectionObject DetectionSelf-Supervised Learning+2Joint Multi-Person Body Detection and Orientation Estimation via One Unified Embedding
Human body orientation estimation (HBOE) is widely applied into various applications, including robotics, surveillance, pedestrian analysis and autonomous driving. Although many approaches have been addressing the HBOE p…
Autonomous DrivingBody Detectionobject-detectionObject DetectionSegmentation of waterbodies in remote sensing images using deep stacked ensemble model
Identifying surface water resources is considered as one of the principal applications of remote sensing image analysis that plays a crucial role in controlling optimal use of these resources, and preventing floods and c…
Body DetectionImage SegmentationSegmentation Of Remote Sensing ImagerySemantic SegmentationSpineNetV2: Automated Detection, Labelling and Radiological Grading Of Clinical MR Scans
This technical report presents SpineNetV2, an automated tool which: (i) detects and labels vertebral bodies in clinical spinal magnetic resonance (MR) scans across a range of commonly used sequences; and (ii) performs ra…
Body DetectionUnderstanding the Impact of Edge Cases from Occluded Pedestrians for ML Systems
Machine learning (ML)-enabled approaches are considered a substantial support technique of detection and classification of obstacles of traffic participants in self-driving vehicles. Major breakthroughs have been demonst…
Body Detectionobject-detectionObject DetectionPedestrian DetectionMutual-Supervised Feature Modulation Network for Occluded Pedestrian Detection
State-of-the-art pedestrian detectors have achieved significant progress on non-occluded pedestrians, yet they are still struggling under heavy occlusions. The recent occlusion handling strategy of popular two-stage appr…
Body DetectionOcclusion HandlingPedestrian DetectionProgressive Refinement Network for Occluded Pedestrian Detection
We present Progressive Refinement Network (PRNet), a novel single-stage detector that tackles occluded pedestrian detection. Motivated by human's progressive process on annotating occluded pedestrians, PRNet achieves seq…
Body DetectionPedestrian DetectionView Invariant Human Body Detection and Pose Estimation from Multiple Depth Sensors
Point cloud based methods have produced promising results in areas such as 3D object detection in autonomous driving. However, most of the recent point cloud work focuses on single depth sensor data, whereas less work ha…
3D Object Detection3D Pose EstimationAutonomous DrivingBody Detection+3Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data
This paper addresses the problem of human body detection---particularly a human body lying on the ground (a.k.a. casualty)---using point cloud data. This ability to detect a casualty is one of the most important features…
Body DetectionData AugmentationDetector-in-Detector: Multi-Level Analysis for Human-Parts
Vision-based person, hand or face detection approaches have achieved incredible success in recent years with the development of deep convolutional neural network (CNN). In this paper, we take the inherent correlation bet…
Body DetectionFace DetectionHand Detectionobject-detection+1