What are the main features of youzunzhi/interpretablemde?

The main features of youzunzhi/interpretablemde are: Scene Perception and Estimation.

What are some open-source alternatives to youzunzhi/interpretablemde?

Open-source alternatives to youzunzhi/interpretablemde include: bochenys/rope — This repo stores code used in the paper. gorilla-lab-scut/ss-conv — Code for "Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and… halleyjiang/plnet — The Pytorch code for our following paper. haoyu94/coarse-to-fine-correspondences — PyTorch implementation of the paper:. irmvlab/pwclonet — PWCLO-Net: Deep LiDAR Odometry in 3D Point Clouds Using Hierarchical Embedding Mask Optimization (CVPR 2021) This is… jeremywangjz/category-6d-pose — This is the official implementation of the paper: Category-Level 6D Object Pose Estimation via Cascaded Relation and…

InterpretableMDE - A PyTorch implementation

Name: youzunzhi/interpretablemde
Author: youzunzhi

A PyTorch implementation for "Towards Interpretable Deep Networks for Monocular Depth Estimation" paper.

Features

Scene Perception and Estimation - Interpretable deep networks for monocular depth estimation.

A PyTorch implementation for "Towards Interpretable Deep Networks for Monocular Depth Estimation" paper.

Features

Scene Perception and Estimation - Interpretable deep networks for monocular depth estimation.

Gorilla-Lab-SCUT/SS-Conv

35View on GitHub

Code for "Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space", NeurIPS 2021. PaperSuppArxiv

HalleyJiang/PLNet

25View on GitHub

The Pytorch code for our following paper

haoyu94/Coarse-to-fine-correspondences

138View on GitHub

PyTorch implementation of the paper:

BoChenYS/ROPE

24View on GitHub

This repo stores code used in the paper