Particularly, on object detection task, the AP improved by 1.4% and 1.8% over the original Mask R-CNN (ResNet50-FPN) and Faster R-CNN (ResNet50-FPN). For the instance segmentation, the AP improved by ...

State-of-the-art object detection networks depend on region proposal algorithms to hypothesize object locations. Advances like SPPnet [7] and Fast R-CNN [5] have reduced the running time of these ...

TB_DIR: "output/VCOCO_sp_human_only/tensorboard" ...

Faster R-CNN is a two-stage object detection model that uses a Region Proposal Network (RPN) to generate high-quality region proposals, followed by a classifier to detect objects. Vision Transformers ...

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