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Hi, in our previous experiment, the img_depth shows no improvement to the NDS. For more implementation results, please refer to BEVDepth and other works.
Hi, in our previous experiment, the img_depth shows no improvement to the NDS. For more implementation results, please refer to BEVDepth and other works.
Hi~ when I was training the camera branch (bevf_pp_4x8_2x_nusc_cam) with img_depth, loss became nan after serveral iters.
I've already tried some solutions, like adding img_depth loss after a few training epoches and setting img_depth loss to zero when it is abnormal ... Unfortunately, all solutions didn't work.
How much can the img_depth improve the NDS?
in bevf_transfusion.py
loss_depth = self.depth_dist_loss(depth_dist, img_depth, loss_method=self.img_depth_loss_method, img=img) * self.img_depth_loss_weight
losses.update(img_depth_loss=loss_depth)
thanks!
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