This work is based on our arXiv tech report. We propose a deep hierarchical Encoder-Decoder architecture with point atrous convolution to exploit multi-scale edge-aware features in unorganized 3D ...
But it doesn't produce for me. There might be something subtle in your workflow if I could run it. To minimize reproducers, can you try the template workflow with no other changes other than switching ...
Abstract: In this work, we propose a Wavelet-based Deep Auto Encoder-Decoder Network (WDAED) based image compression which takes care of the various frequency components present in an image.
Abstract: Visual Question Answering (VQA) is a multimodal task involving Computer Vision (CV) and Natural Language Processing (NLP), the goal is to establish a high-efficiency VQA model. Learning a ...
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