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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



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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