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self-supervision

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monodepth2

nianticlabs /monodepth2

[ICCV 2019] Monocular depth estimation from a single image

computer-vision deep-learning neural-network pytorch depth-estimation monodepth self-supervision

UpdatedAug 10, 2024
Jupyter Notebook

siyuanliii /masa

Official Implementation of CVPR24 highligt paper: Matching Anything by Segmenting Anything

self-supervision tracking-everything

UpdatedNov 7, 2024
Python

sayakpaul /probing-vits

Probing the representations of Vision Transformers.

tensorflow keras transformers attention image-recognition self-supervision pre-training vits explaining-vits

UpdatedOct 5, 2022
Jupyter Notebook

liuyang-ict /awesome-visual-transformers

[TNNLS] A Comprehensive Survey of Awesome Visual Transformer Literatures.

detection point-cloud transformer classification segmentation multi-modal self-supervision multi-sensor-fusion

UpdatedApr 22, 2023

HazyResearch /bootleg

Self-Supervision for Named Entity Disambiguation at the Tail

machine-learning ai named-entity-disambiguation self-supervision

UpdatedJun 14, 2022
Python

ifnspaml /SGDepth

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

depth-estimation depth-prediction multitask-learning self-supervision monocular-depth-estimation sgdepth depth-from-single-images

UpdatedMar 1, 2021
Python

depth-hints

nianticlabs /depth-hints

[ICCV 2019] Depth Hints are complementary depth suggestions which improve monocular depth estimation algorithms trained from stereo pairs

computer-vision deep-learning neural-network pytorch stereo-matching depth-estimation monodepth self-supervision

UpdatedMay 17, 2021
Jupyter Notebook

ShuweiShao /AF-SfMLearner

[MedIA2022 & ICRA2021] Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue

computer-vision deep-learning pytorch pose-estimation depth-estimation monodepth endoscopy self-supervision brightness-calibration

UpdatedJul 2, 2024
Python

Shen-Lab /SS-GCNs

[ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen

graph-convolutional-networks self-supervision graph-neural-networks self-supervised-learning

UpdatedJun 10, 2021
Python

Shen-Lab /GraphCL_Automated

[ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen

automated-machine-learning self-supervision graph-neural-networks self-supervised-learning

UpdatedSep 9, 2024
Python

neuroethology /TREBA

Learning trajectory representations using self-supervision and programmatic supervision.

behavior classification representation-learning self-supervision trajectory-representation

UpdatedSep 14, 2022
Python

jtchen0528 /PCL-I2G

Unofficial Implementation: Learning Self-Consistency for Deepfake Detection

consistency pytorch deepfakes self-supervision faceforensics deepfake-detection

UpdatedMay 19, 2022
Python

gkordo /s2vs

Authors official PyTorch implementation of the "Self-Supervised Video Similarity Learning" [CVPRW 2023]

video-search duplicate-videos self-supervision video-detection self-supervised-learning video-similarity-search video-retrieval ndvr fivr video-similarity-learning video-similarity

UpdatedNov 25, 2023
Python

WeizmannVision /SelfSuperReconst

Self-Supervised RGBD Reconstruction from Brain Activity

image-reconstruction fmri depth-estimation mind-reading self-supervision brain-decoding

UpdatedJun 6, 2022
Python

snap-research /non-contrastive-link-prediction

[ICLR 2023] Link Prediction with Non-Contrastive Learning

deep-learning scalability link-prediction self-supervision graph-neural-networks self-supervised-learning gnn efficient-training non-contrastive-learning

UpdatedJan 13, 2023
Python

neerajwagh /eeg-self-supervision

Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability". Accepted at ML4H Symposium 2021 with an oral spotlight!

machine-learning deep-learning neural-network domain-driven-design neuroscience eeg eeg-signals convolutional-neural-networks transfer-learning representation-learning unsupervised-learning biosignals multi-task-learning eeg-classification self-supervision self-supervised-learning electroencephalogram electrophysiological-data ml4h neurips-2021

UpdatedJul 12, 2023
Python

smallsmallstrong /Master-Thesis---Federated-Transfer-Learning-with-Multimodal-Data

This is the code for my master thesis.

python pytorch federated-learning self-supervision federated-transfer-learning

UpdatedAug 18, 2022
Jupyter Notebook

pxl-th /Monodepth2.jl

Self-supervised monocular depth estimation

flux machine-learning computer-vision deep-learning julia-language neural-networks depth-estimation monodepth self-supervised self-supervision monodepth2

UpdatedFeb 7, 2022
Julia

FinnBehrendt /Unsupervised-Anomaly-Detection-in-Brain-MRI

A Collection of Data sets and Approaches to UAD in Brain MRI.

review generative-model awesome-list brain-mri anomaly-detection self-supervision unsupervised-anomaly-detection

UpdatedApr 29, 2024

rsmbyk /objects-that-sound

Implementation of `Objects that Sound` and `Look, Listen, and Learn` papers by Relja Arandjelovi´c and Andrew Zisserman

deep-learning convolutional-neural-networks cross-modal self-supervision audio-visual-correspondence

UpdatedSep 25, 2020
Python

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