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* hivit added * Update hivit.py * Update hivit.py * Add files via upload * Update __init__.py * Add files via upload * Update __init__.py * Add files via upload * Update hivit.py * Add files via upload * Add files via upload * Add files via upload * Add files via upload * Update itpn.py * Add files via upload * Update __init__.py * Update mae_hivit-base-p16.py * Delete mim_itpn-base-p16.py * Add files via upload * Update itpn_hivit-base-p16.py * Update itpn.py * Update hivit.py * Update __init__.py * Update mae.py * Delete hivit.py * Update __init__.py * Delete configs/itpn directory * Add files via upload * Add files via upload * Delete configs/hivit directory * Add files via upload * refactor and add metafile and readme * update clip * add ut * update ut * update * update docstring * update model.rst --------- Co-authored-by: 田运杰 <48153283+sunsmarterjie@users.noreply.github.com>
64 lines
1.5 KiB
YAML
64 lines
1.5 KiB
YAML
Collections:
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- Name: HiViT
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Metadata:
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Architecture:
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- Dense Connections
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- Dropout
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- GELU
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- Layer Normalization
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- Multi-Head Attention
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- Scaled Dot-Product Attention
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Paper:
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Title: 'HiViT: A Simple and More Efficient Design of Hierarchical Vision Transformer'
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URL: https://arxiv.org/abs/2205.14949
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README: configs/hivit/README.md
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Code:
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URL: null
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Version: null
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Models:
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- Name: hivit-tiny-p16_16xb64_in1k
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Metadata:
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FLOPs: 4603000000
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Parameters: 19181000
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Training Data:
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- ImageNet-1k
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In Collection: HiViT
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy: 82.1
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Task: Image Classification
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Weights:
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Config: configs/hivit/hivit-tiny-p16_16xb64_in1k.py
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- Name: hivit-small-p16_16xb64_in1k
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Metadata:
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FLOPs: 9072000000
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Parameters: 37526000
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Training Data:
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- ImageNet-1k
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In Collection: HiViT
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy:
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Task: Image Classification
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Weights:
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Config: configs/hivit/hivit-small-p16_16xb64_in1k.py
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- Name: hivit-base-p16_16xb64_in1k
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Metadata:
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FLOPs: 18474000000
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Parameters: 79051000
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Training Data:
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- ImageNet-1k
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In Collection: HiViT
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Results:
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- Dataset: ImageNet-1k
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Metrics:
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Top 1 Accuracy:
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Task: Image Classification
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Weights:
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Config: configs/hivit/hivit-base-p16_16xb64_in1k.py
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