In this work, we propose an algorithm named Multi-Scale Local Receptive Field Based Online Sequential Extreme Learning Machine (MSLRF-OSELM) for material classification, which not only can make dynamic training of networks by using data that are generated online of material images, but also can ...
We aim to study the multi-scale receptive fields of a single convolutional neural network to detect faces of varied scales. This paper presents our Multi-Scale Receptive Field Face Detector (MSFD), which has superior performance on detecting faces at different scales and enjoys real-time inference...
能构建更深的网络,增大“receptive field” 模糊图像和清晰图像在数值上本身就比较相近,因此仅仅让网络学习两者的差异也够了 整体网络结构 文中选择了K=3的“multi-scale architecture”,输入、输出的“Gaussian pyramid patches”大小为{256×256,128×128,64×64}。 B_{k},L_{k},S_{k} 分别表示模糊图像、...
The proposed Multi-Scale 3D Convolutional Block (M3D) incorporates a pyramid-like structure to expand the receptive field effectively, thereby enabling the accurate capture of multi-layered detailed features of subtle joint movements. Moreover, to further enhance the model’s fine-grained recognition ...
Whereas, a low-resolution model works better for large object detection, as the backbone network captures information on the larger portions of the whole image, compared to high-resolution models at the same receptive field. 那么高-低分辨率教师网络的特征怎么融合起来供学生网络学习呢? 首先还是和...
as well as object positional information - making them more conducive for small object detection and localization. In contrast, deeper feature maps, with their reduced resolution, have a larger receptive field and carry richer high-level semantic information, making them more suitable for the detectio...
针对语义分割问题 semantic segmentation,这里使用 dilated convolutions 得到multi-scale context 信息来提升分割效果。 dilated convolutions: 首先来看看膨胀卷积 dilated convolutions , 图(a):就是一个常规的 3*3 卷积,1-dilated convolution 得到 F1, F1的每个位置的 receptive field 是 3×3 图(b): 在 F1...
s receptive field. Furthermore, seven types of motion features, including tracking up, gait symmetry, step height balance, motion speed variability, head swing amplitude, head-neck slope and back curvature are extracted simultaneously by monitoring and tracking the motion trajectory of distinct key...
He, Z., Cao, Y., Du, L., Xu, B., Yang, J., Cao, Y., Tang, S., Zhuang, Y.: MRFN: multi-receptive-field network for fast and accurate single image super-resolution. IEEE Trans. Multimed. 22(4), 1042–1054 (2020). https://doi.org/10.1109/TMM.2019.2937688 Article Google Sch...
we apply multi-channel convolution to further solve the issue of multi-sizes. After the fusion block, the dilated convolution is employed to strengthen the receptive field without increasing the amount of parameters. In the crowd density estimation, the combination of multiple sizes and multiple chan...