SKNet
Description
SKNet is a type of convolutional neural network that employs selective kernel units, with selective kernel convolutions, in its architecture. This allows for a type of attention where the network can learn to attend to different receptive fields.
Papers Using This Method
Pick-or-Mix: Dynamic Channel Sampling for ConvNets2024-06-16CTooth: A Fully Annotated 3D Dataset and Benchmark for Tooth Volume Segmentation on Cone Beam Computed Tomography Images2022-06-17Attribute-Based Progressive Fusion Network for RGBT Tracking2022-01-26DRPN: Making CNN Dynamically Handle Scale Variation2021-12-21