9 citations · 19 across the 11 of their papers we have counts for
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cs.LG2023
Embedding Space Interpolation Beyond Mini-Batch, Beyond Pairs and Beyond Examples
Shashanka Venkataramanan, Ewa Kijak, Laurent Amsaleg +1
Mixup refers to interpolation-based data augmentation, originally motivated as a way to go beyond empirical risk minimization (ERM). Its extensions mostly focus on the definition o…
eess.IV2023
Building Flyweight FLIM-based CNNs with Adaptive Decoding for Object Detection
Leonardo de Melo Joao, Azael de Melo e Sousa, Bianca Martins dos Santos +4
State-of-the-art (SOTA) object detection methods have succeeded in several applications at the price of relying on heavyweight neural networks, which makes them inefficient and inv…