RyanAmaudruz

lightly

A python library for self-supervised learning on images.

IEEE_TPAMI_SpectralGPT

Hong, D., Zhang, B., Li, X., Li, Y., Li, C., Yao, J., Yokoya, N., Li, H., Ghamisi, P., Jia, X., Plaza, A. and Gamba, P., Benediktsson, J., Chanussot, J. (2024). SpectralGPT: Spectral remote sensing foundation model. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024. DOI:10.1109/TPAMI.2024.3362475.

learning-papers

Landmark Papers in Machine Learning

dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

Transformer-SSL

This is an official implementation for "Self-Supervised Learning with Swin Transformers".

mados

[ISPRS Journal of Photogrammetry and Remote Sensing] Detecting Marine Pollutants and Sea Surface Features with Deep Learning in Sentinel-2 Imagery

detcon-pytorch

PyTorch implementation of DeepMind's DetCon from "Efficient Visual Pretraining with Contrastive Detection" Henaff et al. (ICCV 2021)

ONE-PEACE

A general representation model across vision, audio, language modalities. Paper: ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities

ViT-Adapter

[ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions

detcon-pytorch

PyTorch implementation of Efficient Visual Pretraining with Contrastive Detection.

CrIBo

This repo contains the code for the ICLR 2024 paper: "CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping".

temperature_schedules

Temperature Schedules for self-supervised contrastive methods on long-tail data (ICLR'23)

Timetuning

Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations ICCV23

RSI-Segmentation

Semantic Segmentation for Remote Sensing Images;Officail Repo for the EarthNets Platform. https://arxiv.org/pdf/2210.04936.pdf

seasonal-contrast

seasonal-contrast is a ServiceNow Research project that was started at Element AI.

SADMA

SADMA: SAtellite baseD MArine debris detection

vissl

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

self-label

Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)

FracNet

[eBioMedicine] Deep-learning-assisted detection and segmentation of rib fractures from CT scans: Development and validation of FracNet

moco-v3

PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057

simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

PyTorch-BYOL

PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

leopart

marinedebrisdetector

FracNet

[eBioMedicine] Deep-learning-assisted detection and segmentation of rib fractures from CT scans: Development and validation of FracNet

dlup

Dlup are the Deep Learning Utilities for Pathology developed at the Netherlands Cancer Institute

RetCCL

timg

A terminal image and video viewer.

hipt

Re-implementation of HIPT

hs2p

Histopathology Slides Preprocessing Pipeline