ifnspaml / SGDepth

[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
MIT License
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about eval and test #31

Closed xuchen-dev closed 2 years ago

xuchen-dev commented 2 years ago

hi i find validation during training result using kitti_kitti_validation is better than test using kitti-zhou-test image image

i wonder is kitti-zhou-test result is your paper provide or kitti-kitti-validation or other like kitti-zhou-validation

xuchen-dev commented 2 years ago

kitti-zhou-validation looks even better image

klingner commented 2 years ago

I am not quite sure what you are aiming at. Results on different datasets are of course different and not comparable. A better result on one dataset mainly tells you that the dataset is easier for the model. In the paper mainly results on kitti_zhou_test are reported as is common.

xuchen-dev commented 2 years ago

thank you