data/ ├── objectgoal_hm3d/ │ ├── train/ │ ├── val/ │ └── val_mini/ ├── scene_datasets/ │ └── hm3d/ │ ├── minival/ │ └── val/ ├── versioned_data/ ├── matterport_category_mappings.tsv └── ...
Abstract: Weakly supervised object detection (WSOD) trains detectors by only weak labels, aiming to save the burden of expensive bounding box-level annotations. Most previous efforts formulate WSOD as ...
Abstract: Domain Adaptive Object Detection (DAOD) transfers an object detector to a novel domain free of labels. However, in the real world, besides encountering novel scenes, novel domains always ...
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