| ultralytics/yolov5: v6. 1-tensorrt, tensorflow edge tpu and openvino export and inference G Jocher, A Chaurasia, A Stoken, J Borovec, Y Kwon, J Fang, K Michael, ... Zenodo, 2022 | 519 | 2022 |
| ultralytics/yolov5: v5. 0-YOLOv5-P6 1280 models, AWS, Supervise. ly and YouTube integrations G Jocher, A Stoken, J Borovec, A Chaurasia, L Changyu, A Hogan, ... Zenodo, 2021 | 468 | 2021 |
| ultralytics/yolov5: v7. 0-yolov5 sota realtime instance segmentation G Jocher, A Chaurasia, A Stoken, J Borovec, Y Kwon, K Michael, J Fang, ... Zenodo, 2022 | 380 | 2022 |
| ultralytics/yolov5: v6. 0-YOLOv5n'Nano'models, Roboflow integration, TensorFlow export, OpenCV DNN support G Jocher, A Stoken, A Chaurasia, J Borovec, Y Kwon, K Michael, ... Zenodo, 2021 | 163 | 2021 |
| ultralytics/yolov5: v6. 2-yolov5 classification models, apple m1, reproducibility, clearml and deci. ai integrations G Jocher, A Chaurasia, A Stoken, J Borovec, Y Kwon, K Michael, J Fang, ... Zenodo, 2022 | 124 | 2022 |
| ultralytics/yolov5: v6. 0-YOLOv5n’Nano’models G Jocher, A Stoken, A Chaurasia, J Borovec, T Xie, Y Kwon, K Michael, ... Roboflow integration, TensorFlow export, OpenCV DNN support 10, 2021 | 67 | 2021 |
| ultralytics/yolov5: v6. 1-TensorRT G Jocher, A Chaurasia, A Stoken, J Borovec, Y Kwon, J Fang, K Michael, ... TensorFlow Edge TPU and OpenVINO export and inference 2 (3), 4, 2022 | 46 | 2022 |
| ultralytics/yolov5: v7. 0-yolov5 sota realtime instance segmentation (2022) G Jocher, A Chaurasia, A Stoken, J Borovec, Y Kwon, K Michael, J Fang, ... DOI: https://doi. org/10.5281/zenodo 7347926, 2023 | 32 | 2023 |
| ultralytics/yolov5: v7. 0—YOLOv5 SOTA realtime instance segmentation. Zenodo G Jocher, A Chaurasia, A Stoken, J Borovec, Y Kwon, K Michael, J Fang, ... | 18 | 2022 |
| ultralytics/yolov5: v6. 0-YOLOv5n ‘Nano’models, Roboflow integration, TensorFlow export, OpenCV DNN support (2021) G Jocher, A Stoken, A Chaurasia, J Borovec, Y Kwon, K Michael, ... Zenodo: https://github. com/ultralytics/yolov5, 0 | 16 | |
| ultralytics/yolov3: v9. 5.0-YOLOv5 v5. 0 release compatibility update for YOLOv3 G Jocher, Y Kwon, J Veitch-Michaelis, D Suess, F Baltacı, G Bianconi, ... Zenodo, 2021 | 11 | 2021 |
| Ultralytics/Yolov5: v6. 0—YOLOv5n “Nano” Models, Roboflow Integration, TensorFlow Export, OpenCV DNN Support, Zenodo. 2021 G Jocher, A Stoken, A Chaurasia, J Borovec, T Xie, Y Kwon, K Michael, ... | 10 | |
| ultralytics/yolov5: v6. 1-tensorrt, tensorflow edge tpu and openvino export and inference, february 2022 G Jocher, A Chaurasia, A Stoken, J Borovec, Y Kwon DOI: https://doi. org/10.5281/zenodo 6222936, 0 | 9 | |
| 객체 검출을 위한 통계치 적응적인 선형 회귀 기반 객체 크기 예측 권용혜， 이종석， 심동규 방송공학회논문지 26 (2), 184-196, 2021 | | 2021 |
| Fast Opto-electrical Transformation of HDR Videos based on a LUT for Piecewise Linear Approximation Y Kwon, J Lee, D Sim IEIE Transactions on Smart Processing & Computing 9 (2), 112-118, 2020 | | 2020 |
| 단일 영상 초해상도 기술의 복잡도 감소를 위한 픽셀 단위 생략 방법 이종석， 권용혜， 심동규 한국방송미디어공학회 학술발표대회 논문집, 259-260, 2019 | | 2019 |
| CNN 기반 CCTV 영상내 차량 번호판 검출 권용혜， 이종석， 남건욱， 원용광， 심동규 제 31회 영상처리 및 이해에 관한 워크샵 IPIU 2019, 2019 | | 2019 |
| HDR 영상 신호의 고속 광전변환을 위한 파라미터 룩업 테이블 기반 구간 선형 근사 방법 권용혜， 이종석， 조원희， 심동규 한국방송미디어공학회 학술발표대회 논문집, 182-184, 2018 | | 2018 |
Jongseok LeeSpecialist, LG ElectronicsEmail yang diverifikasi di kw.ac.kr
