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- Collections:
- - Name: HiViT
- Metadata:
- Architecture:
- - Dense Connections
- - Dropout
- - GELU
- - Layer Normalization
- - Multi-Head Attention
- - Scaled Dot-Product Attention
- Paper:
- Title: 'HiViT: A Simple and More Efficient Design of Hierarchical Vision Transformer'
- URL: https://arxiv.org/abs/2205.14949
- README: configs/hivit/README.md
- Code:
- URL: null
- Version: null
- Models:
- - Name: hivit-tiny-p16_16xb64_in1k
- Metadata:
- FLOPs: 4603000000
- Parameters: 19181000
- Training Data:
- - ImageNet-1k
- In Collection: HiViT
- Results:
- - Dataset: ImageNet-1k
- Metrics:
- Top 1 Accuracy: 82.1
- Task: Image Classification
- Weights:
- Config: configs/hivit/hivit-tiny-p16_16xb64_in1k.py
- - Name: hivit-small-p16_16xb64_in1k
- Metadata:
- FLOPs: 9072000000
- Parameters: 37526000
- Training Data:
- - ImageNet-1k
- In Collection: HiViT
- Results:
- - Dataset: ImageNet-1k
- Metrics:
- Top 1 Accuracy:
- Task: Image Classification
- Weights:
- Config: configs/hivit/hivit-small-p16_16xb64_in1k.py
- - Name: hivit-base-p16_16xb64_in1k
- Metadata:
- FLOPs: 18474000000
- Parameters: 79051000
- Training Data:
- - ImageNet-1k
- In Collection: HiViT
- Results:
- - Dataset: ImageNet-1k
- Metrics:
- Top 1 Accuracy:
- Task: Image Classification
- Weights:
- Config: configs/hivit/hivit-base-p16_16xb64_in1k.py
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