Confluence: A Robust Non-IoU Alternative to Non-Maxima Suppression in Object Detection PDF: https://arxiv.org/pdf/2012.00257.pdf PyTorch: https:///shanglianlm0525/PyTorch-Networks
[learning NMS] J. H. Hosang, R. Benenson, and B. Schiele.Learning nonmaximum suppression. In CVPR, pages 6469–6477, 2017 [softer-nms] He Y, Zhang X, Savvides M, et al.Softer-NMS: Rethinking Bounding Box Regression for Accurate Object Detection[J]. arXiv preprint arXiv:1809.08545, 20...
Object detectionJoint-attentionAdaptive NMSAttention mechanisms and Non-Maximum Suppression (NMS) have proven to be effective components in object detection. However, feature fusion of different scales and layers based on a single attention mechanism cannot always yield gratifying performance, and may ...
softer NMS(CVPR2019):「Softer-NMS: Rethinking Bounding Box Regression for Accurate Object Detection.」 Adaptive NMS(CVPR2019):「Adaptive NMS: Refining Pedestrian Detection in a Crowd」 DIOU-NMS(AAAI2020):「Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression.」 欢迎关注学姐的...
Paper: You Only Look Once: Unified, Real-Time Object Detectionarxiv.org/pdf/1506.0264 YOLOv1 网络架构: YOLOv1架构受到GoogleNet架构的启发,有24个卷积层和两个全连接层。在这些层中,前二十层充当主干,其余层通向另外两个完全连接的层,充当检测头。 1. 前24个卷积层: •前20层:在ImageNet中以224×...
of Code" 5. "Inception Single Shot MultiBox Detector for object detection" 6. "Acquisition of Localization Confidence for Accurate Object Detection" 7. "Softer-NMS: Rethinking Bounding Box Regression for Accurate Object Detection." 8. "Adaptive NMS: Refining Pedestrian Detection in a ...
Non-Maximum Suppression (NMS) is a technique used in object detection to remove overlapping bounding boxes that correspond to the same object. It helps to refine the object detection results and improve the overall accuracy of the model. NMS Algorithm. The NMS algorithm works by iterating through...
1、Soft-NMS可以很方便地引入到object detection算法中,不需要重新训练原有的模型、代码容易实现,不增加计算量(计算量相比整个object detection算法可忽略)。并且很容易集成到目前所有使用NMS的目标检测算法。 2、soft-NMS在训练中采用传统的NMS方法,仅在推断代码中实现soft-NMS。作者应该做过对比试验,在训练过程中采用...
在目标检测领域,常用的开源数据集主要包含以下4个:Pascal VOC<sup>13</sup>、COCO<sup>14</sup>、Object365<sup>15</sup>、OpenImages<sup>16</sup>。这些数据集的类别数、图片数、目标框的总数量各不相同,因此难易也各不相同。这里整理了4个数据集的具体情况,如下表所示。
非极大值抑制算法(Non-maximum suppression, NMS)的本质是搜索局部极大值,抑制非极大值元素。 2. 3邻域情况下NMS的实现 3邻域情况下的NMS即判断一维数组I[W]的元素I[i](2<=i<=W-1)是否大于其左邻元素I[i-1]和右邻元素I[i+1],算法流程如下图所示: ...