Search Results for author: Ziteng Gao

Found 3 papers, 2 papers with code

Mutual Supervision for Dense Object Detection

no code implementations ICCV 2021 Ziteng Gao, LiMin Wang, Gangshan Wu

In this paper, we break the convention of the same training samples for these two heads in dense detectors and explore a novel supervisory paradigm, termed as Mutual Supervision (MuSu), to respectively and mutually assign training samples for the classification and regression head to ensure this consistency.

Classification Dense Object Detection

LIP: Local Importance-based Pooling

1 code implementation ICCV 2019 Ziteng Gao, Li-Min Wang, Gangshan Wu

Spatial downsampling layers are favored in convolutional neural networks (CNNs) to downscale feature maps for larger receptive fields and less memory consumption.

Image Classification Object Detection

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