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For all the following models, the training complexity is proportional to O = E T Q; (1) where E is number of the training epochs, T is the number of …

@google.com arXiv:1609.03499v2 [cs.SD] 19 Sep 2016

where 1 <x t <1 and = 255. This non-linear quantization produces a significantly better reconstruction than a simple linear quantization scheme. …

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Rethinking Semantic Segmentation From a Sequence-to ...

DETR [4] and the following deformable version utilize transformer for object detection where transformer is appended inside the detection head. STTR [31] and ... Rethinking Semantic Segmentation From a Sequence-to-Sequence Perspective With Transformers ...

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