AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
2 papers indexed here
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Activation-Gradient Topology Alignment Merging (AGTAM) is proposed, a novel framework that makes cross-layer topology a first-class design criterion during VLM--LRM fusion, consistently outperforming existing merging methods while preserving the visual capabilities of the base VLM.
Experiments show that SMDDFNet achieves competitive accuracy against recent detectors while retaining real-time throughput, and a multi-scale feature fusion neck further aggregates pyramid features for robust localization of small signs.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.