6 citations · 8 across the 14 of their papers we have counts for
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cs.CV2024
Strike a Balance in Continual Panoptic Segmentation
Jinpeng Chen, Runmin Cong, Yuxuan Luo +2
This study explores the emerging area of continual panoptic segmentation, highlighting three key balances. First, we introduce past-class backtrace distillation to balance the stab…
cs.CV2024★ 6 cited
Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset
Shijie Lian, Ziyi Zhang, Hua Li +4
With the breakthrough of large models, Segment Anything Model (SAM) and its extensions have been attempted to apply in diverse tasks of computer vision. Underwater salient instance…
cs.CV2024
Learning Hierarchical Color Guidance for Depth Map Super-Resolution
Runmin Cong, Ronghui Sheng, Hao Wu +5
Color information is the most commonly used prior knowledge for depth map super-resolution (DSR), which can provide high-frequency boundary guidance for detail restoration. However…