313 citations · 448 across the 17 of their papers we have counts for
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cs.CV2022
Revisiting AP Loss for Dense Object Detection: Adaptive Ranking Pair Selection
Dongli Xu, Jinhong Deng, Wen Li
Average precision (AP) loss has recently shown promising performance on the dense object detection task. However,a deep understanding of how AP loss affects the detector from a pai…
cs.CV2022★ 7 cited
Revisiting Random Channel Pruning for Neural Network Compression
Yawei Li, Kamil Adamczewski, Wen Li +3
Channel (or 3D filter) pruning serves as an effective way to accelerate the inference of neural networks. There has been a flurry of algorithms that try to solve this practical pro…
cs.CV2022★ 2 cited
Revisiting Deep Semi-supervised Learning: An Empirical Distribution Alignment Framework and Its Generalization Bound
Feiyu Wang, Qin Wang, Wen Li +2
In this work, we revisit the semi-supervised learning (SSL) problem from a new perspective of explicitly reducing empirical distribution mismatch between labeled and unlabeled samp…