Skip to content
This repository has been archived by the owner on Dec 6, 2022. It is now read-only.

Latest commit

 

History

History
24 lines (16 loc) · 883 Bytes

File metadata and controls

24 lines (16 loc) · 883 Bytes

This is the non-official implementation for Non-local Neural Networks (Pytorch Version)

Introduction

Test baseline: resnet-50 experiment on Kinetics dataset.(no non-local block yet)

Experiment Records

  • Kinetics dataset prepared
  • Model prepared
  • Model parameters converter prepared (caffe2 to pytorch)

Problems

The test result is low, check:

  • Model parameter loading. (OK)
  • Kinetics dataset RGB range [-1,1]. (OK)

Well, this confuses me, I still can't figure out what is wrong except for parameter loading and RGB range of Kinetics. The official caffe2 code hurts my brain at sometime. If anyone could offer some help, I'd be grateful. : )

Ref: