In addition to these, other parameters should be provided as lists. For example, if you want to evaluate the script with detection confidence values of 0.6, 0.8, and 0.9, you should pass [0.6, 0.8, 0.9] for detect_confidence_list.About...
For these baselines, the default parameters are used or set to reasonable values. Thus, there are 39 algorithms in total included in the report of VisDrone-DET2019 Challenge. Nine submitted detectors improve the Cascade R- CNN [2], namely Airia-...
Decreasing the threshold to 0.01 can generate better detection results, but it will slow down the inference time a lot, we do not consider it for pursuing better practical values. 在检测阶段,我们为6个金字塔特征中的每一个添加两个卷积层,以分别实现位置回归和分类。 六个特征图的默认框的检测比例...
Finally, a task-specific head is built upon the BVE features and predicts the target values of the 3D objects. We take BEVDet-Tiny as an example for illustrating the channels of different modules. The proposed BEVDet, as illustrated in Fig. 1, shares a similar framework with the up-to-...
The boundary offset is then computed based on the expected values of neighboring locations (i.e. bins). Apart from the Trident-head, in this work, the proposed action detector consists of a backbone network and a fea- ture pyramid. Recent TAD methods [9, 40, 47]...
(A.37) [40], and SSD (A.38) [32]. For these baselines, the default parameters are used or set to reasonable values. Thus, there are 38 algorithms in total included in the VisDrone-DET2018 challenge. We present a brief overview of the entries and provide the algorithm descriptions in ...
Decreasing the threshold to 0.01 can generate better detection results, but it will slow down the inference time a lot, we do not consider it for pursuing better practical values.在检测阶段,我们为6个金字塔特征中的每一个添加两个卷积层,以分别实现位置回归和分类。 六个特征图的默认框的检测比例...
. Then we use soft-NMS (Bodlaetal.2017) with a linear kernel for post-processing, leaving more accurate boxes. Decreasing the threshold to 0.01 can generate better detection results, but it will slow down the inference time a lot, we do not consider it for pursuing better practical values....
It can deal with nonlinear data and flexibly deal with various types of data including continuous and discrete values. However, it is difficult to train the data in parallel due to the dependency between the weak learners. DT is simple and easy to understand and can handle multiple output ...
The values of the class map are between 0 and 1, which represents the meaningful area rate in this patch. In addition, a learnable threshold T, which depends on the learnable parameter l, is set to binarize the class map. The formula for this step is as follows:...