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Found 5 papers, 1 papers with code
MS-Net: A Multi-modal Self-supervised Network for Fine-Grained Classification of Aircraft in SAR Images
However, it still has some drawbacks in SAR target classification, especially in fine-grained classification of aircraft: aircrafts in SAR images have large intra-class diversity and inter-class similarity; the number of effective samples is insufficient and it's hard to annotate.
Motion-Guided Global-Local Aggregation Transformer Network for Precipitation Nowcasting
To this end, we propose a novel motion-guided global-local aggregation Transformer network for effectively combining spatiotemporal cues at different time scales, thereby strengthening global-local spatiotemporal aggregation urgently required by the extrapolation task.
SSAP: Single-Shot Instance Segmentation With Affinity Pyramid
Moreover, incorporating with the learned affinity pyramid, a novel cascaded graph partition module is presented to sequentially generate instances from coarse to fine.
Deep Crisp Boundaries: From Boundaries to Higher-level Tasks
These ConvNet based edge detectors have approached human level performance on standard benchmarks.
Deep Crisp Boundaries
Edge detection had made significant progress with the help of deep Convolutional Networks (ConvNet).
