Comments (2)
ahatamiz
commented on May 26, 2024
Thanks for the comment. We will release the version which supports arbitrary sized image (used for COCO detection task). The error you encountered is due to having a resolution which is not divisible by window sizes (7, 14 , etc.). Hence, padding is needed to overcome this.
Please stay tuned.
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ahatamiz
commented on May 26, 2024
We have released the detection code. Hopefully this could be useful.
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Related Issues (20)
- Global query: wrong input transformation HOT 1
- training is slow HOT 5
- is there a large release, please ? HOT 1
- image input for channel changing HOT 3
- Reliable comparison with Swin: fixed window size HOT 1
- training hparam clarifications HOT 3
- x = x.reshape(B, 1, self.N, self.num_heads, self.dim_head).permute(0, 1, 3, 2, 4) reshape error!!!! HOT 3
- New third part implementation HOT 2
- Backbone Feature Maps for One-Stage Detectors HOT 5
- Validate using public checkpoint, Accuracy extremely low HOT 4
- Is there any documentation to train a semantic segmentation model using a custom dataset? HOT 3
- Hi， Where can I download GC_ViT-B_384 pretrained weight ? HOT 6
- Third-Party JAX/Flax implementation HOT 2
- How to use "--input-size" properly? HOT 2
- Getting an error for the output shape for each stage in GC ViT
- Getting an error for the output shape for each stage in GC ViT HOT 1
- Shape errors in data loading when using train.py HOT 1
- Could anyone help me with the data loading process? HOT 1
- How to Visualize the global attention, as shown in Figure 1？ HOT 2
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