CNN）中引入了学习空间几何形变的能力，得到可变形卷积网络（deformable convolutional networks），...
we use the XNOR operation instead of the usual convolutional operation to finish convolution. In de...
PyTorch代码: https://github.com/shanglianlm0525/PyTorch-Networks 1 Deformable Convolutional Networks 2 Deformable Convolution PyTorch代码: 1. 3 Deformable RoI Pooling PyTorch代码: 1. 4 Deformable Position-Sensitive (PS) RoI Pooling PyTorch代码: 1....
After reviewed STN, this time, DCN (Deformable Convolutional Networks), by Microsoft Research Asia (MSRA), is reviewed. It is also called DCNv1 since later on authors proposed DCNv2 as well…
Furthermore, we enhance the efficient layer aggregation networks (ELAN) network by adding a second channel, enabling the model to acquire a more extensive set of feature information. On top of this, we introduce the deformable convolutional v3 (DCNv3) operator, allowing the model to dynamically ...
微软亚洲研究院视觉计算组的研究员在arXiv上公布了一篇题为“Deformable Convolutional Networks”(可变形卷积网络)的论文,首次在卷积神经网络(convolutional neutral networks,CNN)中引入了学习空间几何形变的能力,得到可变形卷积网络(deformable convolutional networks),从而更好地解决了具有空间形变的图像识别任务。研究员们...
To solve these problems, many researchers are committed to adapting Convolutional Neural Networks (CNNs) to the severe distortion of fisheye images for the higher accuracy of visual tasks. In object detection, [17, 24] proposed CNNs that pre- dict arbitrarily rotat...
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 2015, 37, 1904–1916. [Google Scholar] [CrossRef] [Green Version] Redmon, J.; Divvala, S.; Girshick, R. You Only Look Once: Unified, Real-time Object Detection. In ...
The advent of deep learning technology, in particular, convolutional neural networks, has witnessed widespread adoption in building extraction methods, yielding commendable outcomes [6,7,8,9]. Owing to its capacity for autonomous feature learning, sans manual intervention, this approach exhibits ...
Compared to the great progress of large-scale vision transformers (ViTs) in recent years, large-scale models based on convolutional neural networks (CNNs) are still in an early state. This work presents a new large-scale CNN-based foundation model, termed InternImage, which can obtain the ...