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[论文复现145] EfficientFormerV2 提交 #3303
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type: FPNNet | ||
backbone: | ||
type: efficientformerv2_s2_feat | ||
pretrained: pretrained/eformer_s_2_pretrained.pdparams |
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传到bos上
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等模型结构没问题再传吧,不然得改参数名,导致重新上传
configs/efficientformerv2/efficientformerv2_s2_ade20k_512x512_40k.yml
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configs/efficientformerv2/efficientformerv2_s2_ade20k_512x512_40k.yml
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请确认规范后进行修改
configs/efficientformerv2/efficientformerv2_s2_ade20k_512x512_40k.yml
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LGTM
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| Model | size | Head | Resolution | Training Iters | mIoU (slice) | Links | | ||
| :---------------: | :--: | :----: | :--------: | :------------: | :----------: | :-----------------------------: | | ||
| EfficientFormerV2 | s2 | FPNNet | 512x512 | 40000 | 42.16 | [model](https://bj.bcebos.com/paddleseg/dygraph/ade20k/efficientformerv2_s2_ade20k_512x512_40k/model.pdparams) \| [log](https://bj.bcebos.com/paddleseg/dygraph/ade20k/efficientformerv2_s2_ade20k_512x512_40k/train.log) \| [vdl](https://www.paddlepaddle.org.cn/paddle/visualdl/service/app/scalar?id=7397511b1f7607510aaafc218e4ec90d) | |
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建议补充多个型号模型
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明白,和Seaformer一样 等验收之后一块训练补充其他型号(我这几天攒攒算力卡,用脚本任务训练,算力不太够了)
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LGTM
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