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cs.CV2023
Segment and Caption Anything
Xiaoke Huang, Jianfeng Wang, Yansong Tang +5
We propose a method to efficiently equip the Segment Anything Model (SAM) with the ability to generate regional captions. SAM presents strong generalizability to segment anything w…
cs.CV2023
Skip-Plan: Procedure Planning in Instructional Videos via Condensed Action Space Learning
Zhiheng Li, Wenjia Geng, Muheng Li +4
In this paper, we propose Skip-Plan, a condensed action space learning method for procedure planning in instructional videos. Current procedure planning methods all stick to the st…