What are techniques or best practices for detecting/segmenting large objects in high resolution images? Some problems I run into are training with large image chip sizes (e.g. 1024x1024) to make sure the entire object can fit on a chip, culminating in GPU memory management pains. I've been using MaskRCNN.
CygnusX1 t1_j2jxcl2 wrote
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What are techniques or best practices for detecting/segmenting large objects in high resolution images? Some problems I run into are training with large image chip sizes (e.g. 1024x1024) to make sure the entire object can fit on a chip, culminating in GPU memory management pains. I've been using MaskRCNN.