Body Detection
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Benchmarks
Most implemented
Fast spline detection in high density microscopy data
Domain-Adaptive Self-Supervised Pre-Training for Face & Body Detection in Drawings
Detector-in-Detector: Multi-Level Analysis for Human-Parts
BenchCloudVision: A Benchmark Analysis of Deep Learning Approaches for Cloud Detection and Segmentation in Remote Sensing Imagery
DensePose From WiFi
Papers
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 Learning