This repository is the official pytorch implementation of the following paper:
[NIPS2021 Mixed Supervised Object Detection by TransferringMask Prior and Semantic Similarity]
Yan Liu∗, Zhijie Zhang∗, Li Niu†, Junjie Chen, Liqing Zhang†
MoE Key Lab of Artificial, IntelligenceDepartment of Computer Science and Engineering, Shanghai Jiao Tong University
Follow the instructions in Installation to build the projects.
Follow instructions in README.old.md to setup COCO and VOC datasets folder and place the coco and voc files under folder ./datasets. Annotations for the COCO-60, and VOC datasets on Google Drive
coco60_train2017_21987.json,coco60_val2017_969.json: place under folder./datasets/coco/annotations/voc_2007_trainval.json,voc_2007_test.json: place under./datasets/voc/VOC2007/
we provide the model checkpoints of object detection network and mil classifier. All checkpoint files are on Google Drive, place the files under folder ./output/coco60_to_voc/
The test results can be obtained by Executing the following commands:
python -m torch.distributed.launch --nproc_per_node=2 tools/test_net.py --config-file wsod/coco60_to_voc/mil_it0.yaml OUTPUT_DIR "output/coco60_to_voc/mil_it2" MODEL.WEIGHT "output/coco60_to_voc/mil_it2/model_final.pth" WEAK.CFG2 "output/coco60_to_voc/odn_it2/config.yml"