SKNet

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

Paper	Code	Results	Date	Stars

Tasks

Task	Papers	Share
Rgb-T Tracking	1	100.00%

Usage Over Time

This feature is experimental; we are continuously improving our matching algorithm.

Components

Component	Type	Add Remove
Convolution	Convolutions
Dense Connections	Feedforward Networks
Global Average Pooling	Pooling Operations
Grouped Convolution	Convolutions
Max Pooling	Pooling Operations
Selective Kernel	Image Model Blocks
Softmax	Output Functions

Categories

Add Remove

Convolutional Neural Networks