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swint_detectron2's Introduction

SwinT_detectron2

Swin Transformer for Object Detection by detectron2

This repo contains the supported code and configuration files to reproduce object detection results of Swin Transformer. It is based on detectron2.

Results and Models

RetinaNet

Backbone Pretrain Lr Schd box mAP mask mAP #params FLOPs config log model
Swin-T ImageNet-1K 3x 44.6 - - - config - model

Faster R-CNN

Backbone Pretrain Lr Schd box mAP mask mAP #params FLOPs config log model
Swin-T FPN ImageNet-1K 3x 45.1 - - - config - model

Mask R-CNN

Backbone Pretrain Lr Schd box mAP mask mAP #params FLOPs config log model
Swin-T FPN ImageNet-1K 3x 45.5 41.8 - - config - model

The mask mAP (41.8 vs 41.6) is same as the mmdetection, but box mAP is worse (45.5 vs 46.0)

Usage

Please refer to get_started.md for installation and dataset preparation.

note: you need convert the original pretrained weights to d2 format by convert_to_d2.py

References

swint_detectron2's People

Contributors

l3str4nge avatar xiaohu2015 avatar

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