58 Open source projects that are alternatives of or similar to SGDepth

FisheyeDistanceNet

The code and data of DiverseDepth

[ICCV 2021] Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation

[ICCV 2019] Monocular depth estimation from a single image

[ECCV 2020] Single image depth prediction allows us to rectify planar surfaces in images and extract view-invariant local features for better feature matching

Deep learning model to estimate the depth of image.

official implementation of "Visualization of Convolutional Neural Networks for Monocular Depth Estimation"

Source code (train/test) accompanying the paper entitled "Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach" in CVPR 2019 (https://arxiv.org/abs/1903.10764).

Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence, CVPR 2019

Dual CNN Models for Unsupervised Monocular Depth Estimation

BERT-based joint intent detection and slot filling with intent-slot attention mechanism (INTERSPEECH 2021)

What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]

DIODE Development Toolkit

Self-Supervised Depth Estimation on Monocular Sequences

Code for "Multi-task Reinforcement Learning with Soft Modularization"

Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]

A framework for multi-task learning, where you may precondition tasks and compose them into bigger tasks. Conditional objectives and per-task evaluations and interpretations.

Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding

Code for the paper Biomedical Event Extraction with Hierarchical Knowledge Graphs

*SEM 2018: Learning Distributed Event Representations with a Multi-Task Approach

Tensorflow implementation(unofficial) of "Digging into Self-Supervised Monocular Depth Prediction"

Python ROS depth estimation from RGB image based on code from the paper "High Quality Monocular Depth Estimation via Transfer Learning"

Code for "Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation"

The example of running Depth Prediction using Core ML

中文NER的那些事儿

Self-Supervised depth kalilia

Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)

Official implementation of the network presented in the paper "M4Depth: A motion-based approach for monocular depth estimation on video sequences"

Visual place recognition from opposing viewpoints under extreme appearance variations

Depth estimation from RGB images using fully convolutional neural networks.

Python scripts form performing stereo depth estimation using the HITNET model in ONNX.

"HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features" official pytorch implementation.

[ECCV'20] Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation

Code for: "Learning To Adapt For Stereo" accepted at CVPR2019

MMDモーショントレース自動化一括処理バッチ

Matlab Implementation of a 3D Reconstruction algorithm

Pytorch framework for supervised depth prediction

[CVPR21] Implementation of our work "Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation"

Pytorch Lightning Implementation of SC-Depth (V1, V2...) for Unsupervised Monocular Depth Estimation.

Probabilistic depth fusion based on Optimal Mixture of Gaussians for depth cameras

Geometry meets semantics for semi-supervised monocular depth estimation - ACCV 2018

Refocus an image just by clicking on it with no additional data

Multi-view stereo image-based 3D reconstruction

DSGN: Deep Stereo Geometry Network for 3D Object Detection (CVPR 2020)

[CVPR 2020] Normal Assisted Stereo Depth Estimation

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

Repository for Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction (CVPR2019)

MVSNet: Depth Inference for Unstructured Multi-view Stereo using pytorch-lightning

The Natural Language Decathlon: A Multitask Challenge for NLP

A list of multi-task learning papers and projects.

Multi-Task Learning package built with tensorflow 2 (Multi-Gate Mixture of Experts, Cross-Stitch, Ucertainty Weighting)

My notes and assignment solutions for Stanford CS330 (Fall 2019 & 2020) Deep Multi-Task and Meta Learning

Here is the code for the paper ``Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations'' accepted by EMNLP2020.

(ICCV 2019 Oral) Many Task Learning With Task Routing http://openaccess.thecvf.com/content_ICCV_2019/html/Strezoski_Many_Task_Learning_With_Task_Routing_ICCV_2019_paper.html

You Only Look Once for Panopitic Driving Perception.（https://arxiv.org/abs/2108.11250）

Unofficial Faster PyTorch implementation of Convolutional Spatial Propagation Network

Task-Aware Monocular Depth Estimation for 3D Object Detection, AAAI2020

Official PyTorch implementation of MonoDEVSNet - "Monocular Depth Estimation through Virtual-world Supervision and Real-world SfM Self-Supervision."