174 Open source projects that are alternatives of or similar to EPCDepth

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

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

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Pytorch framework for supervised depth prediction

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

FisheyeDistanceNet

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The code and data of DiverseDepth

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

DIODE Development Toolkit

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

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

Deep learning model to estimate the depth of image.

[ICCV 2019] Monocular depth estimation from a single image

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Tensor2tensor experiment with SpecAugment

Source code for "Mononizing Binocular Videos" (SIGGRAPH Asia 2020)

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Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.

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Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.

our code for paper 'PointCutMix: Regularization Strategy for Point Cloud Classification'

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

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Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded Deep Monocular 3D Human Pose Estimation With Evolutionary Training Data"

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TKDE 22. CCCL: Contrastive Cascade Graph Learning.

MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.

Code for EMNLP 2021 paper "Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization"

A library for augmenting annotated audio data

[ICCV 2019]Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Transition

This project proposes an end-to-end framework for semi-supervised Anomaly Detection and Segmentation in images based on Deep Learning.

Python package to corrupt arbitrary images.

Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net/forum?id=SkeuexBtDr)

Copy-paste augmentation for segmentation and detection tasks

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Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"

Unofficial PyTorch Implementation of Unsupervised Data Augmentation.

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Data augmentation using synthetic data for time series classification with deep residual networks

All Convolutional Network: (https://arxiv.org/abs/1412.6806#) implementation in Keras

SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021)

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

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Paper Lists, Notes and Slides, Focus on NLP. For summarization, please refer to https://github.com/xcfcode/Summarization-Papers

The code includes all the file that you need in the training stage for FCN