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Collections:
- Name: DPT
License: Apache License 2.0
Metadata:
Training Data:
- ADE20K
Paper:
Title: Vision Transformer for Dense Prediction
URL: https://arxiv.org/abs/2103.13413
README: configs/dpt/README.md
Frameworks:
- PyTorch
Models:
- Name: dpt_vit-b16_8xb2-160k_ade20k-512x512
In Collection: DPT
Results:
Task: Semantic Segmentation
Dataset: ADE20K
Metrics:
mIoU: 46.97
mIoU(ms+flip): 48.34
Config: configs/dpt/dpt_vit-b16_8xb2-160k_ade20k-512x512.py
Metadata:
Training Data: ADE20K
Batch Size: 16
Architecture:
- ViT-B
- DPT
Training Resources: 8x V100 GPUS
Memory (GB): 8.09
Weights: https://download.openmmlab.com/mmsegmentation/v0.5/dpt/dpt_vit-b16_512x512_160k_ade20k/dpt_vit-b16_512x512_160k_ade20k-db31cf52.pth
Training log: https://download.openmmlab.com/mmsegmentation/v0.5/dpt/dpt_vit-b16_512x512_160k_ade20k/dpt_vit-b16_512x512_160k_ade20k-20210809_172025.log.json
Paper:
Title: Vision Transformer for Dense Prediction
URL: https://arxiv.org/abs/2103.13413
Code: https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/dpt_head.py#L215
Framework: PyTorch
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