15 citations · 44 across the 12 of their papers we have counts for
4 papers · 1 filter
Leveraging Out-of-Distribution Unlabeled Images: Semi-Supervised Semantic Segmentation with an Open-Vocabulary Model
Wooseok Shin, Jisu Kang, Hyeonki Jeong +2
In semi-supervised semantic segmentation, existing studies have shown promising results in academic settings with controlled splits of benchmark datasets. However, the potential be…
TD3Net: A temporal densely connected multi-dilated convolutional network for lipreading
Byung Hoon Lee, Wooseok Shin, Sung Won Han
The word-level lipreading approach typically employs a two-stage framework with separate frontend and backend architectures to model dynamic lip movements. Each component has been…
PrevMatch: Revisiting and Maximizing Temporal Knowledge in Semi-Supervised Semantic Segmentation
Wooseok Shin, Hyun Joon Park, Jin Sob Kim +3
In semi-supervised semantic segmentation, the Mean Teacher- and co-training-based approaches are employed to mitigate confirmation bias and coupling problems. However, despite thei…
TRACER: Extreme Attention Guided Salient Object Tracing Network
Min Seok Lee, Wooseok Shin, Sung Won Han
Existing studies on salient object detection (SOD) focus on extracting distinct objects with edge information and aggregating multi-level features to improve SOD performance. To ac…