175 Open source projects that are alternatives of or similar to Learning2AdaptForStereo

Multi-view stereo image-based 3D reconstruction

open Multi-View Stereo reconstruction library

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

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

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

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

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

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

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Tensorflow implementation for paper: Learning to Compare: Relation Network for Few-Shot Learning.

Meta-DETR: Official PyTorch Implementation

[CVPR 2020] Normal Assisted Stereo Depth Estimation

No description or website provided.

Official Code of "Deep Homography for Efficient Stereo Image Compression"[cvpr21oral]

The code and data of DiverseDepth

Repository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.

[TPAMI 2020] Parallax Attention for Unsupervised Stereo Correspondence Learning

Pytorch implementation for stereo matching described in the paper: Efficient Deep learning for stereo matching

The PatchMatch stereo match algorithm implemented by CUDA.

DIODE Development Toolkit

Attention-Aware Feature Aggregation for Real-time Stereo Matching on Edge Devices (ACCV, 2020)

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

gc-net for stereo matching by using pytorch

[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images

FSL-Mate: A collection of resources for few-shot learning (FSL).

Code for meta-learning initializations for image segmentation

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entirely different from those used for meta-training.

Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686

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

[CVPR2021] Meta Batch-Instance Normalization for Generalizable Person Re-Identification

Pytorch framework for supervised depth prediction

Python Meta-Feature Extractor package.

code for CVPR-2019 paper: Self-supervised Spatio-temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics

[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance

[CVPR'19] Hierarchy Denoising Recursive Autoencoders for 3D Scene Layout Prediction

Tensorflow Implementation of FaceNet: A Unified Embedding for Face Recognition and Clustering to find the celebrity whose face matches the closest to yours.

Source code for CVPR 2020 paper "Scene-Adaptive Video Frame Interpolation via Meta-Learning"

Dual CNN Models for Unsupervised Monocular Depth Estimation

A customized implementation of the paper "StereoNet: guided hierarchical refinement for real-time edge-aware depth prediction"

Perform stereo matching algorithm using Direct 3D (level 9.3) on a mobile device without CUDA support.

A stereo matching framework that will help you design your stereo matching pipeline with state of the art performances.

Official implementation of Meta-StyleSpeech and StyleSpeech

[CVPR 2019] Official TensorFlow Implementation for "Deep Defocus Map Estimation using Domain Adaptation"

Self-Supervised Depth Estimation on Monocular Sequences

Repository containing code for the paper "Meta-Learning with Sparse Experience Replay for Lifelong Language Learning".

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

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

One-Shot Learning with Triplet CNNs in Pytorch

This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising"(KDD2021).

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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

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

FisheyeDistanceNet