Paper Review
[Paper Review] Occlusion-Aware Networks for 3D Human Pose Estimation in Video
Paper : https://openaccess.thecvf.com/content_ICCV_2019/papers/Cheng_Occlusion-Aware_Networks_for_3D_Human_Pose_Estimation_in_Video_ICCV_2019_paper.pdf 본 논문에서는 3D Human Pose Estimation에서 Occlusion 문제를 해결하기 위하여 occlusion aware deep learning framework 제안합니다. 이를 위해 keypoint의 2D confidence heatmap과 optical flow의 consistency constraint를 사용하여 occluded keypoint의 unreliable estimation을 filtering 합니다. oc..
[Paper Review] Explicit Occlusion Reasoning for Multi-person 3D Human Pose Estimation
Paper : https://arxiv.org/abs/2208.00090 Explicit Occlusion Reasoning for Multi-person 3D Human Pose Estimation Occlusion poses a great threat to monocular multi-person 3D human pose estimation due to large variability in terms of the shape, appearance, and position of occluders. While existing methods try to handle occlusion with pose priors/constraints, data augme arxiv.org 이번에 리뷰할 논문은 ECCV 20..
[Paper Review] YOLOv7, Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Paper : https://arxiv.org/pdf/2207.02696.pdf GitHub : https://github.com/WongKinYiu/yolov7 GitHub - WongKinYiu/yolov7: Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors - GitHub - WongKinYiu/yolov7: Implementation of paper - YOLOv7..
[Paper Review] FasterPose, A Faster Simple Baseline for Human Pose Estimation
Paper : https://arxiv.org/abs/2107.03215 FasterPose: A Faster Simple Baseline for Human Pose Estimation The performance of human pose estimation depends on the spatial accuracy of keypoint localization. Most existing methods pursue the spatial accuracy through learning the high-resolution (HR) representation from input images. By the experimental analysis, w arxiv.org 2021년 7월에 아카이브에서 공개된 Faster..
[Paper Review] CPN, Cascaded Pyramid Network for Multi-Person Pose Estimation
오늘은 Pose Estimation 분야에서 CPN으로 유명한 Casecaded Pyramid Network 논문을 빠르게 훑어보도록 하겠습니다. 이 논문에서는 여러가지 복합적인 요인(Occlusion, Background, ...)에 의하여 검출하기 어려운 키포인트들을 잘 검출하기 위해 CPN이라는 구조를 제안했습니다. 크게 아래 그림과 같이 GlobalNet과 RefineNet으로 구성되어있습니다. 이름에서도 알 수 있듯이 GlobalNet에서는 feature pyramid network 기반으로 global feature를 추출하여 localization하는 방식이며, RefineNet은 GlobalNet에서 localization 하지 못한 hard keypoint를 hard keypoint mi..