alexklwong/stereopagnosia

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Python
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Created almost 4 years ago
Updated over 2 years ago

alexklwong/stereopagnosia

alexklwong

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PyTorch implementation of Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations (in AAAI 2021)

awesome-state-of-depth-completion

Current state of supervised and unsupervised depth completion methods

unsupervised-depth-completion-visual-inertial-odometry

Tensorflow and PyTorch implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)

void-dataset

Visual Odometry with Inertial and Depth (VOID) dataset

calibrated-backprojection-network

PyTorch Implementation of Unsupervised Depth Completion with Calibrated Backprojection Layers (ORAL, ICCV 2021)

mondi-python

PyTorch Implementation of Monitored Distillation for Positive Congruent Depth Completion (ECCV 2022)

learning-topology-synthetic-data

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

adareg-monodispnet

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

subpixel-embedding-segmentation

PyTorch Implementation of Small Lesion Segmentation in Brain MRIs with Subpixel Embedding (ORAL, MICCAIW 2021)

stereoscopic-universal-perturbations

PyTorch Implementation of Stereoscopic Universal Perturbations across Different Architectures and Datasets (CVPR 2022)

targeted-adversarial-perturbations-monocular-depth

PyTorch implementation of Targeted Adversarial Perturbations for Monocular Depth Predictions (in NeurIPS 2020)

adaframe-depth-completion

PyTorch implementation of An Adaptive Framework for Learning Unsupervised Depth Completion (RAL 2021 & ICRA 2021)

augundo

PyTorch Implementation of AugUndo: Scaling Up Augmentations for Monocular Depth Completion and Estimation (ECCV 2024)