1. Dynamic Graph Message Passing Networks arxiv.org/pdf/1908.06955…
It addresses the modelling long-range dependencies problem by using feature map as a feature vector nodes and dynamically sample the neighborhood of a node from the feature graph.
A generative image model that can leverage the feature space from different semantic levels learned by a pretrained classification network. many generative applications to play with
The authors challenge the common belief in knowledge distillation by showing that the student can also enhance the teacher significantly and poorly trained-teacher can help the student
A paper on Model efficiency of object detection by introducing weighted bi-directional feature pyramid network (BiFPN) for efficient multi-scale feature fusion and a novel compound scaling method
The authors propose an autoencoder which can generate images with quality comparable to state-of-the-art GANs while also learning a less entangled representation.
Some impressive results with reconstruction of images: