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Hi, thanks to your code.Although I view the code, I still don't understand the meaning of view pooling.In '3D Matching Network with view concatenation', you build cost volume for each image pairs, then you stack all of it and refine it with 3dcnn(_hourglass_3d) and output the probablity of depth.For me, I don't know where is the pooling work for different cost volume, it seems that you stack all the cost volume and output the depth map.
The text was updated successfully, but these errors were encountered:
Hi, thanks to your code.Although I view the code, I still don't understand the meaning of view pooling.In '3D Matching Network with view concatenation', you build cost volume for each image pairs, then you stack all of it and refine it with 3dcnn(_hourglass_3d) and output the probablity of depth.For me, I don't know where is the pooling work for different cost volume, it seems that you stack all the cost volume and output the depth map.
The text was updated successfully, but these errors were encountered: