BiSeNet V2: Bilateral Network with Guided Aggregation for Re...

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This research explores BiSeNet V2: Bilateral Network with Guided Aggregation for Re..., contributing new insights to the field of Artificial Intelligence.

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Research demonstrates significant advances in performance benchmarks
Study provides new evidence regarding model accuracy improvements
Findings open new directions for computational efficiency

💡 Why This Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

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📋 Article Details

Category	🤖 Artificial Intelligence
Published	Sep 03, 2021
Journal	International Journal of Computer Vision
Authors	Changqian Yu, Changxin Gao, Jingbo Wang, Gang Yu, Chunhua Shen
DOI	10.1007/s11263-021-01515-2
Citations	1,613
Source	OpenAlex

🗂️ Research Categories

🤖 Artificial Intelligence 🧬 Medicine & Biology ⚛️ Physics & Space Science ⚙️ Engineering & Technology ∑ Mathematics

BiSeNet V2: Bilateral Network with Guided Aggregation for Real-Time Semantic Segmentation

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