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Found 2 papers, 1 papers with code
Plugin Networks for Inference under Partial Evidence
In this paper, we propose a novel method to incorporate partial evidence in the inference of deep convolutional neural networks.
Ranked #1 on
Semantic Segmentation
on PASCAL VOC 2011 test
Deep-Temporal LSTM for Daily Living Action Recognition
In this paper, we propose to improve the traditional use of RNNs by employing a many to many model for video classification.
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