Segment scene using words in the caption using one stage with PPMN
Segment scene using words in the caption using one stage with PPMN
PPMN: Pixel-Phrase Matching Network for One-Stage Panoptic Narrative Grounding
arXiv paper abstract https://arxiv.org/abs/2208.05647v1
arXiv PDF paper https://arxiv.org/pdf/2208.05647v1.pdf
Panoptic Narrative Grounding (PNG) is an emerging task whose goal is to segment visual objects of things and stuff categories described by dense narrative captions of a still image.
... two-stage approach first extracts segmentation region proposals ... then conducts coarse region-phrase matching to ground the candidate regions for each noun phrase.
However, the two-stage pipeline usually suffers from the performance limitation of low-quality proposals in the first stage ... as well as complicated strategies designed for things and stuff
... To alleviate ... drawbacks, ... propose a one-stage end-to-end Pixel-Phrase Matching Network (PPMN), which directly matches each phrase to its corresponding pixels instead of region proposals
... model can exploit sufficient and finer cross-modal semantic correspondence from the supervision of densely annotated pixel-phrase pairs
... method achieves new state-of-the-art performance on the PNG benchmark with 4.0 absolute Average Recall gains.
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