Related Issues (20)
- Vit-B IN21K weights HOT 4
- Questions about data split. HOT 1
- Code for NUS-WIDE
- [ Preprocessing SSv2 ] HOT 2
- [ Video_main.py : SSv2 dataset ] HOT 1
- question about reproduce
- Which ViT IN21K weights did you use?
- Question about Table 2 (multi-label classification performance)
- Does adapter-based fine-tuning save memory compared to full parameter fine-tuning?
- I would like to know the number of tokens selected for "VPT" in Table1.
- Evaluation HOT 1
- How to use Adaptformer for Swin Transformer
- How to finetune the Imagenet21k HOT 1
- AdaptFormer on Swin Transformer
- How to obtain supervised pre-trained model parameters in VideoMAE.
- question about the initialization
- Thank you for your work. This is the first paper I have replicated in the field of artificial intelligence, and your detailed explanations and well-organized code have brought great convenience to my replication process.
- Inconsistency in pretrained mae vitb16 weights
- Why should we even use adapter in image vit?
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from adaptformer.