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
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
only one branch output
all output
small object detect branch output
middle object detect branch output
large object detect branch output
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent