-
I am wondering if this model can deal with the segmentation task without the depth image or by changing some components to achieve this.
hmf21 updated
3 years ago
-
what is the difference between "Image-level normalized regression loss" and shift_scale invariant loss based on median of a sample in (MiDaS). And what is the benefit of your proposed loss compared t…
mzy97 updated
3 years ago
-
Thanks for your code!
I have a question about the KITTI raw data. Do I need to download all the raw data? I know that in the monocular depth estimation, generally only a part of it needs to be downlo…
-
Thank you for your excellent work! Do you provide performance comparisons with some other unsupervised(or self-supervised) depth estimation like MonoDepthV2?
-
Dear authors,
Can you please confirm that the (NYU) Test and Train datasets are the same used in your old paper titled "High-Quality Monocular Depth Estimation via Transfer Learning"?
Thank yo…
-
Hello,
Thank you for sharing this amazing work. I have a quick question for clarification on velocity supervision.
From [velocity_loss.py](https://github.com/TRI-ML/packnet-sfm/blob/master/packn…
-
Everyone please, keep adding interesting reading materials.
-
Hi, I want to train monodepth2 on EuRoC dataset, which includes scenes of Machine Hall and Vicon Room and I find that images of these scenes have different depth ranges. I notice that the disp_to_dept…
-
`In the last decade, the interest in using fully autonomous mobile robots for agricultural tasks has been growing significantly. Agricultural environments are highly visual repetitive and present high…
-
Hello @hurjunhwa and team!
I am using this code to train on my own dataset.In regard to this I had a few questions as follows:
I wanted to know how did you get the scaling of 0.54 in the following c…