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Found 2 papers, 1 papers with code
Deep Neighbor Layer Aggregation for Lightweight Self-Supervised Monocular Depth Estimation
With the frequent use of self-supervised monocular depth estimation in robotics and autonomous driving, the model's efficiency is becoming increasingly important.
Optimization Matrix Factorization Recommendation Algorithm Based on Rating Centrality
Matrix factorization (MF) is extensively used to mine the user preference from explicit ratings in recommender systems.
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