Closed sfchen94 closed 1 year ago
Yes, we use pre-trained checkpoints provided by the respective authors for all point trackers and SAM variants. PIPS is trained exclusively on a synthetic dataset, FlyingThings++, derived from the FlyingThings optical flow dataset. SAM has been trained on the large-scale SA-1B dataset, the largest image segmentation dataset to date. HQ-SAM has been trained on HQSeg-44K and we take its pre-trained checkpoints.
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Hi,
Has this model been implemented without any training process? And is the only required training process the training of HQ-SAM independently? Alternatively, please provide the GPT/memory usage details for training this model.
Thank you.