OpenForest: A data catalogue for machine learning in forest monitoring

OpenForest: A data catalogue for machine learning in forest monitoring

1 November 2023

Arthur Ouaknine

Etienne Laliberté

Papers citing "OpenForest: A data catalogue for machine learning in forest monitoring"

19 / 19 papers shown

Title
Contrastive ground-level image and remote sensing pre-training improves representation learning for natural world imagery Andy V. Huynh Lauren E. Gillespie Jael Lopez-Saucedo Claire Tang Rohan Sikand Moisés Expósito-Alonso SSL 49 5 0 28 Sep 2024
Insect Identification in the Wild: The AMI Dataset Aditya Jain Fagner Cunha M. Bunsen Juan Sebastián Canas L. Pasi ... K. P. McFarland David Roy T. Høye Maxim Larrivée David Rolnick 48 3 0 18 Jun 2024
PureForest: A Large-Scale Aerial Lidar and Aerial Imagery Dataset for Tree Species Classification in Monospecific Forests Charles Gaydon Floryne Roche 32 3 0 18 Apr 2024
CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations Gengchen Mai Ni Lao Yutong He Jiaming Song Stefano Ermon 80 58 0 01 May 2023
Lightweight, Pre-trained Transformers for Remote Sensing Timeseries Gabriel Tseng Ruben Cartuyvels Ivan Zvonkov Mirali Purohit David Rolnick Hannah Kerner 77 62 0 27 Apr 2023
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning Colorado Reed Ritwik Gupta Shufan Li S. Brockman Christopher Funk Brian Clipp Kurt Keutzer Salvatore Candido M. Uyttendaele Trevor Darrell 121 169 0 30 Dec 2022
Multimodal contrastive learning for remote sensing tasks Umang Jain Alex Wilson Varun Gulshan SSL 36 24 0 06 Sep 2022
Dynamic Query Selection for Fast Visual Perceiver Corentin Dancette Matthieu Cord 30 1 0 22 May 2022
GroupViT: Semantic Segmentation Emerges from Text Supervision Jiarui Xu Shalini De Mello Sifei Liu Wonmin Byeon Thomas Breuel Jan Kautz Xinyu Wang ViT VLM 189 499 0 22 Feb 2022
ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery Gyri Reiersen David Dao Björn Lütjens Konstantin Klemmer Kenza Amara Attila Steinegger Ce Zhang Xiaoxia Zhu 77 32 0 26 Jan 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,443 0 11 Nov 2021
Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks Vivien Sainte Fare Garnot Loic Landrieu AI4TS 71 151 0 16 Jul 2021
Weakly Supervised Instance Attention for Multisource Fine-Grained Object Recognition with an Application to Tree Species Classification Bulut Aygünes R. G. Cinbis S. Aksoy 27 12 0 23 May 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 317 5,785 0 29 Apr 2021
MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework C. Jiang S. Esmaeilzadeh Kamyar Azizzadenesheli K. Kashinath Mustafa A. Mustafa H. Tchelepi P. Marcus P. Prabhat Anima Anandkumar AI4CE 187 141 0 01 May 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 338 11,684 0 09 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 300 75,834 0 18 May 2015