Comments (2)
It is not trivial to do object detection with ViT currently. Stay tuned for follow up papers and code releases...
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@vak I have a hacked implementation using vision transformer as backbone and YOLO as detection heads
It's not working very well and I don't really have too many resources to fine-tune it. Feel free to play with it and let me know if it works.
https://github.com/KaizhaoLiang/PyTorch-YOLOv3
from vision_transformer.
Related Issues (20)
- Fine-Tuning HOT 3
- ERROR: Could not find a version that satisfies the requirement tensorflow_text (from vit-jax) (from versions: none) ERROR: No matching distribution found for tensorflow_text HOT 1
- If the weights of vit-base trained with dropout available? HOT 1
- How do I download the vit_base_patch8_384.pth
- Package versions' confliction [Windows] HOT 2
- Question about commercial usage of LiT model checkpoints
- Shouldn't accumulate_gradient pass rng_key?
- GPU Requirement to use vision transformer HOT 1
- flax.errors.CallCompactUnboundModuleError
- ViT
- can export the pretrained model to onnx or pytorch? HOT 2
- Vision transformer
- Import error in Jax (colab) HOT 3
- fine-tune imagenet21k_ViT-B_16.npz with pre_logits? HOT 2
- KeyError: 'embedding/kernel is not a file in the archive' HOT 1
- Hyperparameter issues HOT 1
- All attempts to get a Google authentication bearer token failed, returning an empty token.
- Where is ViT-22B?
- Is it possible to provide the checkpoint?
- How can I use imagenet21k+imagenet2012/ViT-B_16.npz to inference
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