Monocular depth estimation using ResNet18 encoder decoder
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Updated
Apr 25, 2022 - Jupyter Notebook
Monocular depth estimation using ResNet18 encoder decoder
Scripts for downloading popular depth estimation datasets, including KITTI, DIODE, SUNRGBD, and soon NYUv2 and Make3D. This tool helps automate the download and organization of RGB images and corresponding depth maps, crucial for deep learning and computer vision research
Towards Online Waypoint Generation for a Quadrotor Using Enhanced Monocular Depth Estimation.
Towards Online Waypoint Generation for a Quadrotor Using Enhanced Monocular Depth Estimation.
Replicated results from DenseDepth using DenseNet169 in Python.
Towards Online Waypoint Generation for a Quadrotor Using Enhanced Monocular Depth Estimation.
This is the code for the work "Single image dehazing using improved cycleGAN" published in the Journal of Visual Communication and Image Representation.
Simple Tool To Extract nyu_depth_v2_labeled.mat
Object detection method that can simultaneously estimate the positions and depth of the objects from images
PyTorch Implementation of "NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction"
A PyTorch implementation of "Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection"
Depth estimation from RGB images using a DenseNet based deep model.
Practical Depth Estimation with Image Segmentation and Serial U-Nets
[ECCV 2024] Monocular Occupancy Prediction for Scalable Indoor Scenes
[SAIN'18] [Caffe] A dilated version of FCN with Stride 2 for Efficient Semantic Segmentation
Depth estimation from RGB images using fully convolutional neural networks.
Monocular depth prediction with PyTorch
Monocular Depth Estimation Toolbox and Benchmark. [Arxiv'24 ScaleDepth, TIP'24 Binsformer]
ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation (ICCV 2021)
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