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Add ViT-H v1.1 model

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  1. README.md +15 -7
  2. models/tap_vit_h_v1_1.pkl +3 -0
README.md CHANGED
@@ -25,20 +25,28 @@ See [Github Page](https://github.com/baaivision/tokenize-anything).
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  ### Model weights
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- Two versions of the model are available with different image encoders.
 
 
 
 
 
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  | Model | Description | Schedule | MD5 | Weights |
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  | ----- | ------------| ------ | ----| ------ |
 
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  | **tap_vit_l** | ViT-L TAP v1.1 model | (100% SA-1B, 180k), (VG, 50ep) | c1d41f | [πŸ€— HF link](https://huggingface.co/BAAI/tokenize-anything/blob/main/models/tap_vit_l_v1_1.pkl) |
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  | **tap_vit_b** | ViT-B TAP v1.1 model | (100% SA-1B, 180k), (VG, 50ep) | 707f80 | [πŸ€— HF link](https://huggingface.co/BAAI/tokenize-anything/blob/main/models/tap_vit_b_v1_1.pkl) |
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- | **tap_vit_l** | ViT-L TAP v1.0 model | (50% SA-1B, 90k), (VG, 25ep) | 03f8ec | [πŸ€— HF link](https://huggingface.co/BAAI/tokenize-anything/blob/main/models/tap_vit_l_v1_0.pkl) |
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- | **tap_vit_b** | ViT-B TAP v1.0 model | (50% SA-1B, 90k), (VG, 25ep) | b45cbf | [πŸ€— HF link](https://huggingface.co/BAAI/tokenize-anything/blob/main/models/tap_vit_b_v1_0.pkl) |
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- #### V1.1 Release Notes
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- - Use a longer pre-training and fine-tuning schedule (improved segmentation and caption performance).
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- - Apply weight decay for all bias parameters (avoid FP16 overflow in QK matmul).
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- - Sample point prompts from predicted mask instead of GT box during VG training.
 
 
 
 
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  ### Concept weights
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  ### Model weights
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+ #### V1.1 Release Notes
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+
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+ - Three versions of the model are available with different image encoders.
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+ - Use a longer pre-training and fine-tuning schedule (improved segmentation and caption performance).
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+ - Apply weight decay for all bias parameters (avoid FP16 overflow in QK matmul).
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+ - Sample point prompts from predicted mask instead of GT box during VG training.
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  | Model | Description | Schedule | MD5 | Weights |
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  | ----- | ------------| ------ | ----| ------ |
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+ | **tap_vit_h** | ViT-H TAP v1.1 model | (100% SA-1B, 180k), (VG, 50ep) | 4bdfb9 | [πŸ€— HF link](https://huggingface.co/BAAI/tokenize-anything/blob/main/models/tap_vit_h_v1_1.pkl) |
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  | **tap_vit_l** | ViT-L TAP v1.1 model | (100% SA-1B, 180k), (VG, 50ep) | c1d41f | [πŸ€— HF link](https://huggingface.co/BAAI/tokenize-anything/blob/main/models/tap_vit_l_v1_1.pkl) |
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  | **tap_vit_b** | ViT-B TAP v1.1 model | (100% SA-1B, 180k), (VG, 50ep) | 707f80 | [πŸ€— HF link](https://huggingface.co/BAAI/tokenize-anything/blob/main/models/tap_vit_b_v1_1.pkl) |
 
 
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+ #### V1.0 Release Notes
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+ - Two versions of the model are available with different image encoders.
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+ - Original paper results.
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+
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+ | Model | Description | Schedule | MD5 | Weights |
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+ | ----- | ------------| ------ | ----| ------ |
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+ | **tap_vit_l** | ViT-L TAP v1.0 model | (50% SA-1B, 90k), (VG, 25ep) | 03f8ec | [πŸ€— HF link](https://huggingface.co/BAAI/tokenize-anything/blob/main/models/tap_vit_l_v1_0.pkl) |
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+ | **tap_vit_b** | ViT-B TAP v1.0 model | (50% SA-1B, 90k), (VG, 25ep) | b45cbf | [πŸ€— HF link](https://huggingface.co/BAAI/tokenize-anything/blob/main/models/tap_vit_b_v1_0.pkl) |
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  ### Concept weights
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models/tap_vit_h_v1_1.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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