[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator
Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
https://github.com/mikel-brostrom/Yolov5_DeepSort_Pytorch
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks
[ECCV 2020] PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer
Dynamic Group Convolution for Accelerating Convolutional Neural Networks (ECCV 2020)