Decoupled-Classification-Refinement
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Revisiting RCNN: On Awakening the Classification Power of Faster RCNN (ECCV 2018)
So is the whole DCR setup similar to setting up Faster RCNN + classifier? For DCR v1, is it just letting the classifier post-process the output from the faster RCNN...
Thanks for your nice work, however I have some questions: 1)In the DCRV2, paepr writes that "During training, we first sample R boxes from the outputs of the bounding box...
During testing DCR-v1, I have problem in getting the document **'_detections_all.pkl'**. I get it by run `python experiments/faster_rcnn/rcnn_test.py --cfg experiments/faster_rcnn/cfgs/resnet_v1_101_coco_train2017_rcnn_end2end.yaml --thresh 0 --disable-nms` and make some modifications according to my...
than you in advance
What if their prediction class is different? Like stage1 predict the box as cat, while stage2 predict the box as dog. Thank you
Hi, thanks for sharing your great work. I have a question regarding technical details of your works. 1. In Table.1 in your paper(ECCV2018), you compare 'sampling methods' to choose training...
I have trained several faster rcnn models with different backbones, then I want to ensemble these models for a better performance, but I am totally confused about how to do...
I want to add extra conv + bn+relu layers after dcr, but I donot konw how to init bn layer both in train and use in test, can you give...