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I combine trident net and refinedet to detect objects of different scales at the same time in one forward propagation

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wei-yuma/multitrident

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multitrident(updating)

This is an object detection project. What I want to do is to let detector can detect objects of different scales through different branches, so I can detect and show detected objects of different scales in different detect heads. It dosen't need judge scale of objects and show them, because the different branches of network has learn what it small object、what is middle object and what is large object.

network

network

performance on voc0712

img_size = 320*320

class aero bike bird boat bottle bus car cat chair cow table dog horse mbike person plant sheep sofa train Tv
RefineDet AP 83.9 85.4 81.4 75.5 60.2 86.4 88.1 89.1 62.7 83.9 77.0 85.4 87.1 86.7 82.6 55.3 82.7 78.5 88.1 79.4
multitrident AP 84.5 84.4 76.9 70.0 63.7 85.0 87.9 87.5 62.2 80.4 67.7 83.4 87.4 85.2 81.6 50.9 80.9 76.0 84.6 77.4

demo

all output

demo1demo2 demo3demo4 demo5

only one branch output

all output demo4 small object detect branch output demo3-small middle object detect branch output demo3-middle large object detect branch output demo3-large

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I combine trident net and refinedet to detect objects of different scales at the same time in one forward propagation

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