223 citations · 354 across the 31 of their papers we have counts for
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cs.CV2023
High-level Feature Guided Decoding for Semantic Segmentation
Ye Huang, Di Kang, Shenghua Gao +2
Existing pyramid-based upsamplers (e.g. SemanticFPN), although efficient, usually produce less accurate results compared to dilation-based models when using the same backbone. This…
cs.CV2023
CARD: Semantic Segmentation with Efficient Class-Aware Regularized Decoder
Ye Huang, Di Kang, Liang Chen +5
Semantic segmentation has recently achieved notable advances by exploiting "class-level" contextual information during learning. However, these approaches simply concatenate class-…