过去一年中添加的文章，按日期排序
DeforT: Deformable transformer for visual tracking
K Yang, Q Li, C Tian, H Zhang, A Shi, J Li - Neural Networks, 2024 - Elsevier
175 天前 - … over union (IoU) loss for the regression training, thus … Furthermore, we propose
a quality-aware focal loss (QAFL) … To improve the bounding box regression accuracy, we …
a quality-aware focal loss (QAFL) … To improve the bounding box regression accuracy, we …
A novel tensor decomposition-based efficient detector for low-altitude aerial objects with knowledge distillation scheme
N Zeng, X Li, P Wu, H Li, X Luo - IEEE/CAA Journal of …, 2024 - ieeexplore.ieee.org
221 天前 - … bounding box regression samples and the inaccuracy of regression geometric factors,
the focal and efficient IoU (intersection of union) loss … improve the detection accuracy. The …
the focal and efficient IoU (intersection of union) loss … improve the detection accuracy. The …
Answer sheet layout analysis based on YOLOv5s-DC and MSER
PB Fu, X Zhang, HR Yang - The Visual Computer, 2023 - Springer
221 天前 - … calculation to supervise the classification and regression, … head, quality focal loss,
and efficient IoU to improve the … and outputs highly accurate bounding boxes with extra class …
and efficient IoU to improve the … and outputs highly accurate bounding boxes with extra class …
GAG-Net: Global Attention-Guided CNN Architecture for Accurate Ship Detection
B Feng, Y Huang, M Cao, Z Lv, L Zhang, Y Zhang - 2023 - researchsquare.com
229 天前 - … significantly improving detection accuracy. Additionally, we introduce the Focal
and Efficient IOU (Focal-EIOU) loss for accurate bounding box regression, which focuses more …
and Efficient IOU (Focal-EIOU) loss for accurate bounding box regression, which focuses more …
YOLOv7‐RepFPN: Improving real‐time performance of laparoscopic tool detection on embedded systems
Y Liu, Y Hayashi, M Oda, T Kitasaka… - Healthcare Technology …, 2024 - Wiley Online Library
269 天前 - … To improve detection accuracy, we modified the loss function for bounding box
regression (BBR). … CIoU [37] (complete IoU) in YOLOv7 with focal EIoU [35] loss function for BBR. …
regression (BBR). … CIoU [37] (complete IoU) in YOLOv7 with focal EIoU [35] loss function for BBR. …
MSDD-YOLOX: An enhanced YOLOX for real-time surface defect detection of oranges by type
J Feng, Z Wang, S Wang, S Tian, H Xu - European Journal of Agronomy, 2023 - Elsevier
338 天前 - … improve the regression of predicted bounding boxes, focal loss and Complete-IoU
(CIoU… well as aspect ratio to the loss function can gradually correct the regression effect of the …
(CIoU… well as aspect ratio to the loss function can gradually correct the regression effect of the …
[HTML][HTML] A novel weld-seam defect detection algorithm based on the s-yolo model
Y Zhang, Q Ni - Axioms, 2023 - mdpi.com
353 天前 - … a loss function that combines IoU, binary cross-entropy, and focal loss to improve
bounding box regression and … outstanding accuracy and efficiency in weld defect detection. It …
bounding box regression and … outstanding accuracy and efficiency in weld defect detection. It …