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Uvmulti
- Citation Author(s):
- Submitted by:
- Yuxin Li
- Last updated:
- Sat, 03/29/2025 - 01:43
- DOI:
- 10.21227/qer3-rd03
- License:
23 Views- Categories:
- Keywords:
Abstract
This is a subset of the underwater video-level multi-task learning dataset UVMulti that we created for the paper submission. The complete dataset will be released when the paper is accepted. The file sequence represents the original video sequence, sequence_enh represents the corresponding underwater image enhancement annotation, mask represents the corresponding semantic segmentation annotation, depth represents the sparse depth annotation, and dense_depth represents the dense depth annotation.
This is a subset of the underwater video-level multi-task learning dataset UVMulti that we created for the paper submission. The complete dataset will be released when the paper is accepted. The file sequence represents the original video sequence, sequence_enh represents the corresponding underwater image enhancement annotation, mask represents the corresponding semantic segmentation annotation, depth represents the sparse depth annotation, and dense_depth represents the dense depth annotation.
