Corpetti Thomas
Science of Remote Sensing · 2021
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Corpetti Thomas trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Corpetti Thomas's perspective
Ordered by how strongly the researchers Corpetti Thomas trusts endorse each paper. Same corpus, a different order for every researcher.
- Fully convolutional networks for semantic segmentation
- LSTM Fully Convolutional Networks for Time Series Classification (IEEE Access)
- Intercomparison of UAV, Aircraft and Satellite Remote Sensing Platforms for Precision Viticulture (Remote Sensing)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- UAV & satellite synergies for optical remote sensing applications: A literature review (2021) — 328 citations