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iDet3D: Towards Efficient Interactive Object Detection for LiDAR Point Clouds
Accurately annotating multiple 3D objects in LiDAR scenes is laborious and challenging.
ENInst: Enhancing Weakly-supervised Low-shot Instance Segmentation
We address a weakly-supervised low-shot instance segmentation, an annotation-efficient training method to deal with novel classes effectively.
FoxInst: A Frustratingly Simple Baseline for Weakly Few-shot Instance Segmentation
We propose the first weakly-supervised few-shot instance segmentation task and a frustratingly simple but strong baseline model, FoxInst.
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