Web31 aug. 2024 · We show that dense object detectors can achieve a more accurate ranking of candidate detections based on the IACS. We design a new loss function, named … Web18 okt. 2024 · for training: CIoU-loss, CmNN, DropBlock, Mosaic, SAT, Eliminate grid sensitivity, multiple anchors for single ground truth, Cosine annealing scheduler, optimal hyperparameters, random shapes...
DDH-YOLOv5: improved YOLOv5 based on Double IoU-aware
Web14 sep. 2024 · 因为Dice Loss直接把分割效果评估指标作为Loss去监督网络,不绕弯子,而且计算交并比时还忽略了大量背景像素,解决了正负样本不均衡的问题,所以收敛速度很快。 类似的Loss函数还有IoU Loss。 如 … Web13 jan. 2024 · 通过替换损失函数,IoU损失分支表现更佳。 分类概率和目标物体得分相乘作为最后的置信度,这显然是没有考虑定位的准确度。 我们增加了一个额外的IOU预测分支来去衡量检测框定位的准确度,额外引入的参数和FLOPS可以忽略不计 2.7 Grid Sensitive 这里可以联想到 sigmoid 函数两侧的梯度很小的原因导致的。 2.8 Matrix NMS 受Soft-NMS … blank business cards templates
VarifocalNet: An IoU-aware Dense Object Detector - CSDN博客
Web29 jul. 2024 · Real-Time Anchor-Free Single-Stage 3D Detection with IoU-Awareness Runzhou Ge, Zhuangzhuang Ding, Yihan Hu, Wenxin Shao, Li Huang, Kun Li, Qiang Liu In this report, we introduce our winning solution to the Real-time 3D Detection and also the "Most Efficient Model" in the Waymo Open Dataset Challenges at CVPR 2024. Web1 jul. 2024 · [07/01 17:49:05] ppdet.engine INFO: Epoch: [0] [ 40/800] learning_rate: 0.000006 loss_xy: nan loss_wh: nan loss_iou: nan loss_iou_aware: nan loss_obj: … Web31 aug. 2024 · In this paper, we propose to learn IoU-aware classification scores (IACS) that simultaneously represent the object presence confidence and localization accuracy, to produce a more accurate rank... blank business card template png