área de pesquisa
- 3D convolution for multidate crop recognition from multitemporal image sequences
- Bruno Astuto Arouche Nunes
- FIRST RESULTS OF THE LEM BENCHMARK DATABASE FOR AGRICULTURAL APPLICATIONS
- Fully convolutional recurrent networks for multidate crop recognition from multitemporal image sequences
- Gabriel Machado Dallago
- Julio Cesar Pereira
- Lighting Estimation on Mixed Reality Using Deep Learning
- MANY-TO-MANY FULLY CONVOLUTIONAL RECURRENT NETWORKS FOR MULTITEMPORAL CROP RECOGNITION USING SAR IMAGE SEQUENCES
- Nayereh Hamidishad
- Open Set Semantic Segmentation for Multitemporal Crop Recognition
- Robust Image Features Creation by Learning How to Merge Visual and Semantic Attributes
- Tatianne Costa Negri Rocha
- TOWARDS LIFELONG CROP RECOGNITION USING FULLY CONVOLUTIONAL RECURRENT NETWORKS AND SAR IMAGE SEQUENCES