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cs.CV2023
BroadCAM: Outcome-agnostic Class Activation Mapping for Small-scale Weakly Supervised Applications
Jiatai Lin, Guoqiang Han, Xuemiao Xu +5
Class activation mapping~(CAM), a visualization technique for interpreting deep learning models, is now commonly used for weakly supervised semantic segmentation~(WSSS) and object…
cs.CV2021★ 1 cited
Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search
Zixiang Ding, Yaran Chen, Nannan Li +2
Different from other deep scalable architecture-based NAS approaches, Broad Neural Architecture Search (BNAS) proposes a broad scalable architecture which consists of convolution a…