Fapn: Feature-aligned pyramid network for dense image prediction
Recent advancements in deep neural networks have made remarkable leap-forwards in
dense image prediction. However, the issue of feature alignment remains as neglected by …
dense image prediction. However, the issue of feature alignment remains as neglected by …
FaPN: Feature-aligned Pyramid Network for Dense Image Prediction
S Huang, Z Lu, R Cheng, C He - 2021 IEEE/CVF International …, 2021 - ieeexplore.ieee.org
Recent advancements in deep neural networks have made remarkable leap-forwards in
dense image prediction. However, the issue of feature alignment remains as neglected by …
dense image prediction. However, the issue of feature alignment remains as neglected by …
FaPN: Feature-aligned Pyramid Network for Dense Image Prediction
S Huang, Z Lu, R Cheng, C He - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Recent advancements in deep neural networks have made remarkable leap-forwards in
dense image prediction. However, the issue of feature alignment remains as neglected by …
dense image prediction. However, the issue of feature alignment remains as neglected by …
FaPN: Feature-aligned Pyramid Network for Dense Image Prediction
S Huang, Z Lu, R Cheng, C He - arXiv preprint arXiv:2108.07058, 2021 - arxiv.org
Recent advancements in deep neural networks have made remarkable leap-forwards in
dense image prediction. However, the issue of feature alignment remains as neglected by …
dense image prediction. However, the issue of feature alignment remains as neglected by …
FaPN: Feature-aligned Pyramid Network for Dense Image Prediction
S Huang, Z Lu, R Cheng, C He - 2021 IEEE/CVF International …, 2021 - computer.org
Recent advancements in deep neural networks have made remarkable leap-forwards in
dense image prediction. However, the issue of feature alignment remains as neglected by …
dense image prediction. However, the issue of feature alignment remains as neglected by …
FaPN: Feature-aligned Pyramid Network for Dense Image Prediction
S Huang, Z Lu, R Cheng, C He - Image, 2001 - shihuahuang.cn
➢ Step-by-step downsampling makes the features achieve strong semantic while losing
details progressively and dramatically.➢ Upsampling the coarse feature without any location …
details progressively and dramatically.➢ Upsampling the coarse feature without any location …
FaPN: Feature-aligned Pyramid Network for Dense Image Prediction
S Huang, Z Lu, R Cheng, C He - shihuahuang.cn
FaPN: Feature-aligned Pyramid Network for Dense Image Prediction Page 1 Sunday, 03
October 2021 1 Shihua Huang, Zhichao Lu, Ran Cheng, and Cheng He Department of …
October 2021 1 Shihua Huang, Zhichao Lu, Ran Cheng, and Cheng He Department of …