object detector to manage the incompletely-supervised labels[]{data-label="fig:intuition"}](figs/baseline.eps "fig:"){width="\intuitionwidth\linewidth"} & ![Intuition of the proposed label propagation through a positiveness-focused object detector to manage the incompletely-supervised labels[]{data-label="fig:intuition"}](figs/phase1.eps "fig:"){width="\intuitionwidth\linewidth"} & ![Intuition of the proposed label propagation through a positiveness-focused object detector to manage the incompletely-supervised labels[]{data-label="fig:intuition"}](figs/phase2.eps "fig:"){width="\intuitionwidth\linewidth"} & ![Intuition of the proposed label propagation through a positiveness-focused object detector to manage the incompletely-supervised labels[]{data-label="fig:intuition"}](figs/phase3.eps "fig:"){width="\intuitionwidth\linewidth"} & ![Intuition of the proposed label propagation through a positiveness-focused object detector to manage the incompletely-supervised labels[]{data-label="fig:intuition"}](figs/phase4.eps "fig:"){width="\intuitionwidth\linewidth"}\
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(a) Ideal & (b) Baseline & (c) Stage 1 & (d) Stage 2 & (d) Stage 3 & (e) Stage 4\

Label Propagation by Positiveness-Focused Object Detection
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As we have a few exemplar labels of the target objects, the most intuitive way is to treat the labels as seeds and carefully propagate them to unknown regions. We propose a simple yet effective *positiveness-focused object detector* (PFOD) to solve the propagation problem.

### Intuition.

Fig. \[fig:intuition\] illustrates the intuition of the label propagation by PFOD. The plus symbol denotes a positive sample while the minus symbol denotes negative. The sample in red is known (labeled) while the sample in blue is unknown. The line with the dotted line is 