Few-shot fine-grained classification with spatial attentive comparison
The main goal of this paper is to propose a novel model, named Spatial Attentive
Comparison Network (SACN), which is used to address a problem, termed few-shot fine …
Comparison Network (SACN), which is used to address a problem, termed few-shot fine …
Improving the performance of convolutional neural networks by fusing low-level features with different scales in the preceding stage
X Yu, W Long, Y Li, X Shi, L Gao - IEEE Access, 2021 - ieeexplore.ieee.org
The width of convolutional neural networks (CNNs) is crucial for improving performance.
Many wide CNNs use a convolutional layer to fuse multiscale features or fuse the preceding …
Many wide CNNs use a convolutional layer to fuse multiscale features or fuse the preceding …