Unsupervised Scale-consistent Depth Learning from Video (IJCV2021 & NeurIPS 2019)
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Updated
Sep 5, 2022 - Python
Unsupervised Scale-consistent Depth Learning from Video (IJCV2021 & NeurIPS 2019)
The NyuV2 Raw Dataset Extractor is a Python project that processes the raw dataset from NyuV2. It provides operations like depth map colorization, undistortion, and frame synchronization to create video sequences. This Python adaptation of the official NyuV2 toolbox simplifies dataset manipulation.
Object Detection and depth EStimation. A deep learning course project.
Multi-Modal scene recognition using multi-scale encoded features (IMAVIS 2022)
MTLA - Multi-Task Learning Archive
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