News
Few-Shot Object Detection (FSOD) aims to detect the objects of novel classes using only a few manually annotated samples. With the few novel class samples, learning the inter-class relationships among ...
This work tackles the cross-domain object detection problem which aims to generalize a pre-trained object detector to different domains (driving scenes) without labels. An uncertainty-aware and ...
The coco_classes.txt file contains a list of 80 class names used for object detection in the COCO 2017 dataset. This file can be referenced when training or evaluating models in the Detectron2 and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results