30 citations · 90 across the 10 of their papers we have counts for
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cs.CV2021
Fully Attentional Network for Semantic Segmentation
Qi Song, Jie Li, Chenghong Li +2
Recent non-local self-attention methods have proven to be effective in capturing long-range dependencies for semantic segmentation. These methods usually form a similarity map of R…
cs.CV2021★ 9 cited
MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space
Rui Huang, Yixuan Li
Detecting out-of-distribution (OOD) inputs is a central challenge for safely deploying machine learning models in the real world. Existing solutions are mainly driven by small data…
cs.CV2021★ 5 cited
BiCnet-TKS: Learning Efficient Spatial-Temporal Representation for Video Person Re-Identification
Ruibing Hou, Hong Chang, Bingpeng Ma +2
In this paper, we present an efficient spatial-temporal representation for video person re-identification (reID). Firstly, we propose a Bilateral Complementary Network (BiCnet) for…