david-az

Hi, thank you for the great work. I would like to know if anyone has done experiments pre-training with larger Image Size, especially when pre-training for object detection/segmentation tasks ?...

Very long training time

1

Hi, thank you for your great work. The number of FLOPs and the numbers of parameters are less than Swin Transformer, however the training time of HRFormer is at least...

Use pretrained Q-Former with multiple image resolutions

2

In the BLIP-2 paper, it is specified that: "[Q-Former] _extracts a fixed number of output features from the image encoder, independent of input image resolution._". However, when using cross-attention, this...