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The diversity and complementarity of sensors available for Earth Observations (EO) calls for developing bespoke self-supervised multimodal learning approaches.
Pohl, C., Van Genderen, J.L.: Multisensor image fusion in remote sensing: Concepts, methods and applications. International journal of remote sensing (1998)
1998
Earlier work this paper cites.
Coppin, P., Lambin, E., Jonckheere, I., Muys, B.: Digital change detection methods in natural ecosystem monitoring: A review. Analysis of multi-temporal remote sensing images (2002)
2002
Earlier work this paper cites.
Drusch, M., Del Bello, U., Carlier, S., Colin, O., Fernandez, V., Gascon, F., Hoersch, B., Isola, C., Laberinti, P., Martimort, P., Meygret, A., Spoto, F., Sy, O., Marchese, F., Bargellini, P.: Sentinel-2: ESA’s optical high-resolution mission for GMES operational services. Remote Sensing of Environment (2012)
2012
Earlier work this paper cites.
Li, D., Tong, Q., Li, R., Gong, J., Zhang, L.: Current issues in high-resolution Earth observation technology. Science China Earth sciences (2012)
2012
Earlier work this paper cites.
Nathan Silberman, Derek Hoiem, P.K., Fergus, R.: Indoor segmentation and support inference from RGBD images. In: ECCV (2012)
2012
Earlier work this paper cites.
Moreira, A., Prats-Iraola, P., Younis, M., Krieger, G., Hajnsek, I., Papathanassiou, K.P.: A tutorial on synthetic aperture radar. IEEE Geoscience and Remote Sensing Magazine (2013)
2013
Earlier work this paper cites.
Yang, J., Gong, P., Fu, R., Zhang, M., Chen, J., Liang, S., Xu, B., Shi, J., Dickinson, R.: The role of satellite remote sensing in climate change studies. Nature climate change (2013)
2013
Earlier work this paper cites.
Secades, C., O’Connor, B., Brown, C., Walpole, M., et al.: Earth observation for biodiversity monitoring: A review of current approaches and future opportunities for tracking progress towards the aichi biodiversity targets. CBD technical series (2014)
2014
Earlier work this paper cites.
Kingma, D.P., Ba, J.: ADAM: A method for stochastic optimization. ICLR (2015)
2015
Earlier work this paper cites.
He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: CVPR (2016)
2016
Earlier work this paper cites.
Noroozi, M., Favaro, P.: Unsupervised learning of visual representations by solving jigsaw puzzles. In: ECCV (2016)
2016
Earlier work this paper cites.
Schmitt, M., Zhu, X.X.: Data fusion and remote sensing: An ever-growing relationship. IEEE Geoscience and Remote Sensing Magazine (2016)
2016
Earlier work this paper cites.
Zhang, R., Isola, P., Efros, A.A.: Colorful image colorization. In: ECCV (2016)
2016
Earlier work this paper cites.
Anderson, K., Ryan, B., Sonntag, W., Kavvada, A., Friedl, L.: Earth observation in service of the 2030 agenda for sustainable development. Geo-spatial Information Science (2017)
2017
Earlier work this paper cites.
Badrinarayanan, V., Kendall, A., Cipolla, R.: Segnet: A deep convolutional encoder-decoder architecture for image segmentation. IEEE TPAMI (2017)
2017
Earlier work this paper cites.
Hazirbas, C., Ma, L., Domokos, C., Cremers, D.: FuseNet: Incorporating depth into semantic segmentation via fusion-based CNN architecture. In: ACCV (2017)
2017
Earlier work this paper cites.
Kussul, N., Lavreniuk, M., Skakun, S., Shelestov, A.: Deep learning classification of land cover and crop types using remote sensing data. IEEE Geoscience and Remote Sensing Letters (2017)
2017
Earlier work this paper cites.
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, Ł., Polosukhin, I.: Attention is all you need. In: NeurIPS (2017)
2017
Earlier work this paper cites.
Benedetti, P., Ienco, D., Gaetano, R., Ose, K., Pensa, R.G., Dupuy, S.: M 3
2018
Earlier work this paper cites.
Christie, G., Fendley, N., Wilson, J., Mukherjee, R.: Functional map of the world. In: CVPR (2018)
2018
Earlier work this paper cites.
Dai, A., Nießner, M.: 3DMV: Joint 3D-multi-view prediction for 3D semantic scene segmentation. In: ECCV (2018)
2018
Earlier work this paper cites.
Gidaris, S., Singh, P., Komodakis, N.: Unsupervised representation learning by predicting image rotations. In: ICLR (2018)
2018
Earlier work this paper cites.
Manfreda, S., McCabe, M.F., Miller, P.E., Lucas, R., Pajuelo Madrigal, V., Mallinis, G., Ben Dor, E., Helman, D., Estes, L., Ciraolo, G., et al.: On the use of unmanned aerial systems for environmental monitoring. Remote sensing p. 641 (2018)
2018
Earlier work this paper cites.
2018
Earlier work this paper cites.
Vrieling, A., Meroni, M., Darvishzadeh, R., Skidmore, A.K., Wang, T., Zurita-Milla, R., Oosterbeek, K., O’Connor, B., Paganini, M.: Vegetation phenology from Sentinel-2 and field cameras for a Dutch barrier island. Remote sensing of environment (2018)
2018
Earlier work this paper cites.
Ghamisi, P., Rasti, B., Yokoya, N., Wang, Q., Hofle, B., Bruzzone, L., Bovolo, F., Chi, M., Anders, K., Gloaguen, R., et al.: Multisource and multitemporal data fusion in remote sensing: A comprehensive review of the state of the art. IEEE Geoscience and Remote Sensing Magazine (2019)
2019
Earlier work this paper cites.
Kenton, J.D.M.W.C., Toutanova, L.K.: BERT: Pre-training of deep bidirectional transformers for language understanding. In: NAACL (2019)
2019
Earlier work this paper cites.
Sudmanns, M., Tiede, D., Augustin, H., Lang, S.: Assessing global Sentinel-2 coverage dynamics and data availability for operational Earth observation (EO) applications using the EO-Compass. International Journal of Digital Earth (2019)
2019
Earlier work this paper cites.
Caron, M., Misra, I., Mairal, J., Goyal, P., Bojanowski, P., Joulin, A.: Unsupervised learning of visual features by contrasting cluster assignments. In: NeurIPS (2020)
2020
Earlier work this paper cites.
Chen, T., Kornblith, S., Norouzi, M., Hinton, G.: A simple framework for contrastive learning of visual representations. In: ICML (2020)
2020
Earlier work this paper cites.
Dosovitskiy, A., Beyer, L., Kolesnikov, A., Weissenborn, D., Zhai, X., Unterthiner, T., Dehghani, M., Minderer, M., Heigold, G., Gelly, S., et al.: An image is worth 16x16 words: Transformers for image recognition at scale. In: ICLR (2020)
2020
Earlier work this paper cites.
Garnot, V.S.F., Landrieu, L.: Lightweight temporal self-attention for classifying satellite images time series. In: Advanced Analytics and Learning on Temporal Data: ECML PKDD Workshop (2020)
2020
Earlier work this paper cites.
Garnot, V.S.F., Landrieu, L., Giordano, S., Chehata, N.: Satellite image time series classification with pixel-set encoders and temporal self-attention. In: CVPR (2020)
2020
Earlier work this paper cites.
Grill, J.B., Strub, F., Altché, F., Tallec, C., Richemond, P., Buchatskaya, E., Doersch, C., Avila Pires, B., Guo, Z., Gheshlaghi Azar, M., et al.: Bootstrap your own latent-a new approach to self-supervised learning. In: NeurIPS (2020)
2020
Earlier work this paper cites.
He, K., Fan, H., Wu, Y., Xie, S., Girshick, R.: Momentum contrast for unsupervised visual representation learning. In: CVPR (2020)
2020
Earlier work this paper cites.
Hong, D., Gao, L., Yokoya, N., Yao, J., Chanussot, J., Du, Q., Zhang, B.: More diverse means better: Multimodal deep learning meets remote-sensing imagery classification. IEEE TGRS (2020)
2020
Cited alongside, same era.
Krispel, G., Opitz, M., Waltner, G., Possegger, H., Bischof, H.: Fuseseg: LiDAR point cloud segmentation fusing multi-modal data. In: WACV (2020)
2020
Cited alongside, same era.
Kuffer, M., Thomson, D.R., Boo, G., Mahabir, R., Grippa, T., Vanhuysse, S., Engstrom, R., Ndugwa, R., Makau, J., Darin, E., et al.: The role of Earth observation in an integrated deprived area mapping “system” for low-to-middle income countries. Remote sensing (2020)
2020
Cited alongside, same era.
Nakalembe, C.: Urgent and critical need for sub-saharan african countries to invest in Earth observation-based agricultural early warning and monitoring systems. Environmental Research Letters (2020)
2020
Cited alongside, same era.
Liao, Y., Xie, J., Geiger, A.: KITTI-360: A novel dataset and benchmarks for urban scene understanding in 2D and 3D. IEEE TPAMI (2022)
2022
Later among the works it cites.
Liu, Y., Li, X., Hua, Z., Xia, C., Zhao, L.: A band selection method with masked convolutional autoencoder for hyperspectral image. IEEE Geoscience and Remote Sensing Letters (2022)
2022
Later among the works it cites.
Robert, D., Vallet, B., Landrieu, L.: Learning multi-view aggregation in the wild for large-scale 3D semantic segmentation. In: CVPR (2022)
2022
Later among the works it cites.
Tseng, W.H., Lê, H.Â., Boulch, A., Lefèvre, S., Tiede, D.: CROCO: Cross-modal contrastive learning for localization of Earth observation data. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2022)
2022
Later among the works it cites.
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alphaXiv is searching for related work…
Rußwurm, M., Körner, M.: Self-attention for raw optical satellite time series classification. ISPRS Journal of Photogrammetry and Remote Sensing (2020)
2020
Cited alongside, same era.
Shermeyer, J., Hogan, D., Brown, J., Van Etten, A., Weir, N., Pacifici, F., Hansch, R., Bastidas, A., Soenen, S., Bacastow, T., et al.: Spacenet 6: Multi-sensor all weather mapping dataset. In: CVPR Workshop EarthVision (2020)
2020
Cited alongside, same era.
Amitrano, D., Di Martino, G., Guida, R., Iervolino, P., Iodice, A., Papa, M.N., Riccio, D., Ruello, G.: Earth environmental monitoring using multi-temporal synthetic aperture radar: A critical review of selected applications. Remote Sensing (2021)
2021
Cited alongside, same era.
Ayush, K., Uzkent, B., Meng, C., Tanmay, K., Burke, M., Lobell, D., Ermon, S.: Geography-aware self-supervised learning. In: ICCV (2021)
2021
Cited alongside, same era.
Bao, H., Dong, L., Piao, S., Wei, F.: BEiT: BERT pre-training of image transformers. In: ICLR (2021)
2021
Cited alongside, same era.
Caron, M., Touvron, H., Misra, I., Jégou, H., Mairal, J., Bojanowski, P., Joulin, A.: Emerging properties in self-supervised vision transformers. In: ICCV (2021)
2021
Cited alongside, same era.
Chen, X., He, K.: Exploring simple siamese representation learning. In: CVPR (2021)
2021
Cited alongside, same era.
Garnot, V.S.F., Landrieu, L.: Panoptic segmentation of satellite image time series with convolutional temporal attention networks. In: ICCV (2021)
2021
Cited alongside, same era.
Wenger, R., Puissant, A., Weber, J., Idoumghar, L., Forestier, G.: MultiSenGE: A multimodal and multitemporal benchmark dataset for land use/land cover remote sensing applications. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2022)
2022
Later among the works it cites.
Xie, Z., Zhang, Z., Cao, Y., Lin, Y., Bao, J., Yao, Z., Dai, Q., Hu, H.: SimMim: A simple framework for masked image modeling. In: CVPR (2022)
2022
Later among the works it cites.
Yuan, Y., Lin, L., Liu, Q., Hang, R., Zhou, Z.G.: SITS-Former: A pre-trained spatio-spectral-temporal representation model for sentinel-2 time series classification. International Journal of Applied Earth Observation and Geoinformation (2022)
2022
Later among the works it cites.
Zhou, J., Wei, C., Wang, H., Shen, W., Xie, C., Yuille, A., Kong, T.: Image BERT pre-training with online tokenizer. In: ICLR (2022)
2022
Later among the works it cites.
Assran, M., Duval, Q., Misra, I., Bojanowski, P., Vincent, P., Rabbat, M., LeCun, Y., Ballas, N.: Self-supervised learning from images with a joint-embedding predictive architecture. In: CVPR (2023)
2023
Later among the works it cites.
Bao, X., Zhang, R., Lv, J., Wu, R., Zhang, H., Chen, J., Zhang, B., Ouyang, X., Liu, G.: Vegetation descriptors from Sentinel-1 SAR data for crop growth monitoring. ISPRS Journal of Photogrammetry and Remote Sensing (2023)
2023
Later among the works it cites.
Bastani, F., Wolters, P., Gupta, R., Ferdinando, J., Kembhavi, A.: SatlasPretrain: A large-scale dataset for remote sensing image understanding. In: ICCV (2023)
2023
Later among the works it cites.
2023
Later among the works it cites.
DataTerra Dinamis: Diffusion OpenData Dinamis, https://dinamis.data-terra.org/opendata/ , accessed: 2023-12-15
2023
Later among the works it cites.
Ekim, B., Stomberg, T.T., Roscher, R., Schmitt, M.: MapInWild: A remote sensing dataset to address the question of what makes nature wild. IEEE Geoscience and Remote Sensing Magazine (2023)
2023
Later among the works it cites.
Fuller, A., Millard, K., Green, J.R.: CROMA: Remote sensing representations with contrastive radar-optical masked autoencoders. In: NeurIPS (2023)
2023
Later among the works it cites.
Garioud, A., Gonthier, N., Landrieu, L., De Wit, A., Valette, M., Poupée, M., Giordano, S., Wattrelos, B.: FLAIR: A country-scale land cover semantic segmentation dataset from multi-source optical imagery. In: NeurIPS Dataset and Benchmark (2023)
2023
Later among the works it cites.
Girdhar, R., El-Nouby, A., Liu, Z., Singh, M., Alwala, K.V., Joulin, A., Misra, I.: Imagebind: One embedding space to bind them all. In: CVPR (2023)
2023
Later among the works it cites.
Goldberg, H.R., Ratto, C.R., Banerjee, A., Kelbaugh, M.T., Giglio, M., Vermote, E.F.: Automated global-scale detection and characterization of anthropogenic activity using multi-source satellite-based remote sensing imagery. In: Geospatial Informatics XIII. SPIE (2023)
2023
Later among the works it cites.
Huang, P.Y., Sharma, V., Xu, H., Ryali, C., Fan, H., Li, Y., Li, S.W., Ghosh, G., Malik, J., Feichtenhofer, C.: MAViL: Masked audio-video learners. In: NeurIPS (2023)
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
Oquab, M., Darcet, T., Moutakanni, T., Vo, H., Szafraniec, M., Khalidov, V., Fernandez, P., Haziza, D., Massa, F., El-Nouby, A., et al.: Dinov2: Learning robust visual features without supervision. TLMR (2023)
2023
Later among the works it cites.
2023
Later among the works it cites.
Reed, C.J., Gupta, R., Li, S., Brockman, S., Funk, C., Clipp, B., Keutzer, K., Candido, S., Uyttendaele, M., Darrell, T.: Scale-MAE: A scale-aware masked autoencoder for multiscale geospatial representation learning. In: ICCV (2023)
2023
Later among the works it cites.
Shukor, M., Dancette, C., Rame, A., Cord, M.: UnIVAL: Unified model for image, video, audio and language tasks. TMLR (2023)
2023
Later among the works it cites.
Tarasiou, M., Chavez, E., Zafeiriou, S.: ViTs for SITS: Vision transformers for satellite image time series. In: CVPR (2023)
2023
Later among the works it cites.
2023
Later among the works it cites.
Wang, Y., Braham, N.A.A., Xiong, Z., Liu, C., Albrecht, C.M., Zhu, X.X.: SSL4EO-S12: A large-scale multi-modal, multi-temporal dataset for self-supervised learning in Earth observation. IEEE Geoscience and Remote Sensing Magazine (2023)
2023
Later among the works it cites.
2023
Later among the works it cites.
PyTorch: ReduceLROnPlateau. org/docs/stable/generated/torch.optim.lr_scheduler.ReduceLROnPlateau.html#torch.optim.lr_scheduler.ReduceLROnPlateau , accessed: 2024-02-29
2024
Closest in time.
Greenwell, C., Crall, J., Purri, M., Dana, K., Jacobs, N., Hadzic, A., Workman, S., Leotta, M.: WATCH: Wide-area terrestrial change hypercube. In: WACV (2024)
2024
Closest in time.
2024
Closest in time.
Srivastava, S., Sharma, G.: OmniVec: Learning robust representations with cross modal sharing. In: WACV (2024)
2024
Closest in time.