28 citations · 69 across the 12 of their papers we have counts for
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eess.IV2021★ 7 cited
M2MRF: Many-to-Many Reassembly of Features for Tiny Lesion Segmentation in Fundus Images
Qing Liu, Haotian Liu, Wei Ke +1
Feature reassembly is an essential component in modern CNN-based segmentation approaches, which includes feature downsampling and upsampling operators. Existing operators reassembl…
cs.CV2021★ 1 cited
Discovery-and-Selection: Towards Optimal Multiple Instance Learning for Weakly Supervised Object Detection
Shiwei Zhang, Wei Ke, Lin Yang
Weakly supervised object detection (WSOD) is a challenging task that requires simultaneously learn object classifiers and estimate object locations under the supervision of image c…
cs.NE2021★ 28 cited
A Multiple Classifier Approach for Concatenate-Designed Neural Networks
Ka-Hou Chan, Sio-Kei Im, Wei Ke
This article introduces a multiple classifier method to improve the performance of concatenate-designed neural networks, such as ResNet and DenseNet, with the purpose to alleviate…