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Found 4 papers, 1 papers with code
GraphTransformers for Geospatial Forecasting of Hurricane Trajectories
In this paper we introduce a novel framework for trajectory prediction of geospatial sequences using GraphTransformers.
Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark
Most existing works on few-shot object detection (FSOD) focus on a setting where both pre-training and few-shot learning datasets are from a similar domain.
Learning to Track Object Position through Occlusion
Occlusion is one of the most significant challenges encountered by object detectors and trackers.
A more abstractive summarization model
In our work, we first thoroughly investigate why the pointer-generator network is unable to generate novel words, and then address that by adding an Out-of-vocabulary (OOV) penalty.
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