nyuv2
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Replicated results from DenseDepth using DenseNet169 in Python.
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Jun 27, 2019 - Python
MTLA - Multi-Task Learning Archive
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Feb 8, 2024 - Python
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.
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Jul 7, 2023 - Jupyter Notebook
PyTorch Implementation of "NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction"
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Jun 29, 2019 - Python
nyuv2 toolbox for data extraction and loading.
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Apr 24, 2023 - Python
Joint scene classification and semantic segmentation with FuseNet
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Oct 3, 2023 - Python
SharpNet: Fast and Accurate Recovery of Occluding Contours in Monocular Depth Estimation
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Apr 7, 2021 - Python
[ECCV'20] Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation
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Nov 7, 2022 - Python
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