Splet15. sep. 2024 · Soft Switchable Atrous Convolution Module In this section, SSAC will be introduced, which is modified from the original SAC. Figure 3 shows the overall architecture of SSAC. It is composed of three parts: two global context components before and after, and a SSAC component is inserted in the middle. SpletSAC (Switchable Atrous Convolution) This is an implementation of DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution. 参数 in_channels ( int) – Number of channels in the input image out_channels ( int) – Number of channels produced by the convolution kernel_size ( int or tuple) – Size of the convolving …
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Splet训练技巧 (1) 增加 global context feature (2) 在骨干网中加入switchable atrous convolution (3) 根据kaiming大神的论文,把骨干网的BN换成GN,效果神奇 (4) 使用SGD_GC优化器,本部分参考开源仓库Gradient-Centralization 使用了Cascade-RCNN级联检测器,骨干网 ResNeSt-152, Res2net-101, SeNet-154 ... Splet15. jun. 2024 · This repo holds the code for DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution . The project is based on … hertz rental in new orleans
【论文笔记】:DetectoRS: Detecting Objects with Recursive …
SpletCONV_LAYERS. register_module (name = 'SAC') class SAConv2d (ConvAWS2d): """SAC (Switchable Atrous Convolution) This is an implementation of `DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution Splet19. sep. 2024 · At the micro-level, we propose Switchable Atrous Convolution, which convolves the features with different atrous rates and gathers the results using switch … SpletWhile at the micro-level, a switchable atrous convolution (SAC) is exploited to convolve the features with different atrous rates and gather the results using switch functions. Using EfficientNet backbone, a variant of the Mask R-CNN as well as the KITTI panoptic dataset that has panoptic ground truth annotations are proposed in . The method ... mayo clinic turner syndrome