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Data Debugging is NP-hard for Classifiers Trained with SGD
(1) If the loss function and the dimension of the model are not fixed, Debuggable is NP-complete regardless of the training order in which all the training samples are processed during SGD.
MAFNet: A Multi-Attention Fusion Network for RGB-T Crowd Counting
RGB-Thermal (RGB-T) crowd counting is a challenging task, which uses thermal images as complementary information to RGB images to deal with the decreased performance of unimodal RGB-based methods in scenes with low-illumination or similar backgrounds.
3rd Place Scheme on Instance Segmentation Track of ICCV 2021 VIPriors Challenges
In the end, our team achieved the result of 0. 366 for AP@0. 50:0. 95 on the test set, which is competitive with other top-ranking methods while only one GPU is used.
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