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SeasonDepth

Paper "SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark under Multiple Environments" is submitted to ICRA 2021 by Hanjiang Hu, Baoquan Yang, Weiang Shi, Zhijian Qiao, and Hesheng Wang.

SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark under Multiple Environments

Test Set for Benchmark

The spilt test set of SeasonDepth is selected from the Urban slices from CMU-Seasons dataset.

Download

The images used for zero-shot experimental evaluation are available HERE.

Submission

Since the benchmark website is currently under construction, please send your test results to [email protected]. We will process your submission in several days and give you evaluation performance. The predicted depth map must be with png format in 16-bit. The submission must be in a zip file with the inside folder structure below.

results_slice2_c0

env00

img_c0_0001.png

img_c0_0002.png

...

env00

...

results_slice2_c0

...

For Training and Validation Set

The training and validation set with reconstructed depth map groundtruths will be available soon.

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