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Head Detection

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/ChiCheng123/JointDet

공식 코드

Relational Learning for Joint Head and Human Detection

https://github.com/Deceptrax123/Spurious-Correlation-Mitigation-in-YOLOv5

공식 코드

Autoencoder based approach for the mitigation of spurious correlations

https://github.com/Sentient07/HeadHunter--T

공식 코드

Tracking Pedestrian Heads in Dense Crowd

https://github.com/Sunmi-AI-Lab/head-detection-and-tracking

공식 코드

Towards in-store multi-person tracking using head detection and track heatmaps

https://github.com/aditya-vora/FCHD-Fully-Convolutional-Head-Detector

공식 코드

FCHD: Fast and accurate head detection in crowded scenes

https://github.com/aosokin/cnn_head_detection

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Context-aware CNNs for person head detection

https://github.com/gkw0010/gtav_head-dataset

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Mask Focal Loss: A unifying framework for dense crowd counting with canonical object detection networks

https://github.com/goodproj13/SG-Net

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SG-Net: Spatial Granularity Network for One-Stage Video Instance Segmentation

https://github.com/hnuzhy/bpjdet

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BPJDet: Extended Object Representation for Generic Body-Part Joint Detection

https://github.com/hnuzhy/directmhp

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DirectMHP: Direct 2D Multi-Person Head Pose Estimation with Full-range Angles

https://github.com/kupynorest/head_detector

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VGGHeads: 3D Multi Head Alignment with a Large-Scale Synthetic Dataset

https://github.com/lehommee/DPDnet-A-robust-people-detector-using-deep-learning-with-an-overhead-depth-camera

공식 코드

DPDnet: A Robust People Detector using Deep Learning with an Overhead Depth Camera

https://github.com/leotam/MIMIC-CXR-annotations

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Weakly supervised one-stage vision and language disease detection using large scale pneumonia and pneumothorax studies

https://github.com/pl-share/mpsn

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MPSN: Motion-aware Pseudo Siamese Network for Indoor Video Head Detection in Buildings

https://github.com/utokyo-fieldphenomics-lab/doda

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DODA: Diffusion for Object-detection Domain Adaptation in Agriculture

https://github.com/we1pingyu/DSHNet

공식 코드

Towards Resolving the Challenge of Long-tail Distribution in UAV Images for Object Detection

https://github.com/2023-MindSpore-1/ms-code-216/tree/main/RefineDet

RefineDetLite: A Lightweight One-stage Object Detection Framework for CPU-only Devices

https://github.com/DhruvMakwana/Global-Wheat-Detection

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

https://github.com/PaddlePaddle/PaddleDetection

Tracking Pedestrian Heads in Dense Crowd

https://github.com/Sentient07/HeadHunter-T

Tracking Pedestrian Heads in Dense Crowd

https://github.com/ShubhamShaswat/Overhead-Person-Detection

DPDnet: A Robust People Detector using Deep Learning with an Overhead Depth Camera

https://github.com/TranThienDat-Nguyen/VisionEvaluation

Tracking Pedestrian Heads in Dense Crowd

https://github.com/embracesource-cv-com/FCHD

FCHD: Fast and accurate head detection in crowded scenes

https://github.com/flaudem/ProjetDeepLearnig_IAS

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

https://github.com/js-aguiar/wheat-object-detection

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

https://github.com/p2irc/UDA4POC

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

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.