mmclassification/configs/csra/metafile.yml

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YAML

Collections:
- Name: CSRA
Metadata:
Training Data: PASCAL VOC 2007
Architecture:
- Class-specific Residual Attention
Paper:
URL: https://arxiv.org/abs/1911.11929
Title: 'Residual Attention: A Simple but Effective Method for Multi-Label Recognition'
README: configs/csra/README.md
Code:
Version: v0.24.0
URL: https://github.com/open-mmlab/mmclassification/blob/v0.24.0/mmcls/models/heads/multi_label_csra_head.py
Models:
- Name: resnet101-csra_1xb16_voc07-448px
Metadata:
FLOPs: 4120000000
Parameters: 23550000
In Collections: CSRA
Results:
- Dataset: PASCAL VOC 2007
Metrics:
mAP: 94.98
OF1: 90.80
CF1: 89.16
Task: Multi-Label Classification
Weights: https://download.openmmlab.com/mmclassification/v0/csra/resnet101-csra_1xb16_voc07-448px_20220722-29efb40a.pth
Config: configs/csra/resnet101-csra_1xb16_voc07-448px.py