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Head Detection
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Using Cross-Domain Detection Loss to Infer Multi-Scale Information for Improved Tiny Head Tracking
BBoxCut: A Targeted Data Augmentation Technique for Enhancing Wheat Head Detection Under Occlusions
RPEE-HEADS: A Novel Benchmark for Pedestrian Head Detection in Crowd Videos
Toward Pedestrian Head Tracking: A Benchmark Dataset and an Information Fusion Network
VGGHeads: 3D Multi Head Alignment with a Large-Scale Synthetic Dataset
Autoencoder based approach for the mitigation of spurious correlations
ODFormer: Semantic Fundus Image Segmentation Using Transformer for Optic Nerve Head Detection
DODA: Diffusion for Object-detection Domain Adaptation in Agriculture
Modified CycleGAN for the synthesization of samples for wheat head segmentation
Perception Reinforcement Using Auxiliary Learning Feature Fusion: A Modified Yolov8 for Head Detection
BPJDet: Extended Object Representation for Generic Body-Part Joint Detection
Wheat Head Counting by Estimating a Density Map with Convolutional Neural Networks
DirectMHP: Direct 2D Multi-Person Head Pose Estimation with Full-range Angles
Mask Focal Loss: A unifying framework for dense crowd counting with canonical object detection networks
An Intuitive and Unconstrained 2D Cube Representation for Simultaneous Head Detection and Pose Estimation
Data-centric AI approach to improve optic nerve head segmentation and localization in OCT en face images
Cluster Head Detection for Hierarchical UAV Swarm With Graph Self-supervised Learning
MHSnet: Multi-head and Spatial Attention Network with False-Positive Reduction for Pulmonary Nodules Detection
Talking Detection In Collaborative Learning Environments
MPSN: Motion-aware Pseudo Siamese Network for Indoor Video Head Detection in Buildings
Global Wheat Head Dataset 2021: more diversity to improve the benchmarking of wheat head localization methods
Global Wheat Challenge 2020: Analysis of the competition design and winning models
Tracking Pedestrian Heads in Dense Crowd
SG-Net: Spatial Granularity Network for One-Stage Video Instance Segmentation
WheatNet: A Lightweight Convolutional Neural Network for High-throughput Image-based Wheat Head Detection and Counting
A Practical Framework for ROI Detection in Medical Images -- a case study for hip detection in anteroposterior pelvic radiographs
Towards Resolving the Challenge of Long-tail Distribution in UAV Images for Object Detection
An original framework for Wheat Head Detection using Deep, Semi-supervised and Ensemble Learning within Global Wheat Head Detection (GWHD) Dataset
Weakly supervised one-stage vision and language disease detection using large scale pneumonia and pneumothorax studies
DPDnet: A Robust People Detector using Deep Learning with an Overhead Depth Camera
Towards in-store multi-person tracking using head detection and track heatmaps
Global Wheat Head Detection (GWHD) dataset: a large and diverse dataset of high resolution RGB labelled images to develop and benchmark wheat head detection methods
Deep Learning-based End-to-end Diagnosis System for Avascular Necrosis of Femoral Head
Gun Source and Muzzle Head Detection
Semantic Head Enhanced Pedestrian Detection in a Crowd
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