We propose a 6.2 MB compact parametric model called ZigzagNet based on SqueezeNet to improve the performance for recognition by applying moving normalization ...
A 6.2 MB compact parametric model called ZigzagNet based on SqueezeNet is proposed to improve the performance for recognition by applying moving ...
Sep 1, 2016 · We propose a 6.2 MB compact parametric model called ZigzagNet based on SqueezeNet to improve the performance for recognition by applying moving ...
ZigzagNet: Efficient Deep Learning for Real Object Recognition Based on 3D Models. https://doi.org/10.1007/978-3-319-54190-7_28 · Full text.
We propose a 6.2 MB compact parametric model called ZigzagNet based on SqueezeNet to improve the performance for recognition by applying moving normalization ...
... ZigzagNet: Efficient Deep Learning for Real Object Recognition Based on 3D Models | Effective utilization on texture-less 3D models for deep learning is ...
2018. Zigzagnet: Efficient deep learning for real object recognition based on 3d models. Y Wang, C Cui, X Zhou, W Deng. Computer Vision–ACCV 2016: 13th Asian ...
Zigzagnet- Efficient deep learning for real object recognition based on 3D models. September 1, 2016 · 2 min · Yida. Self-restraint Object Recognition by ...
ZigzagNet: Efficient Deep Learning for Real Object Recognition Based on 3D Models (ACCV 2016). Self-restraint Object Recognition by Model Based CNN Learning ( ...
Nov 20, 2023 · Deep learning based 3D reconstruction can work extremely well. I spent several years working for a facial recognition company that based the ...
Missing: ZigzagNet: | Show results with:ZigzagNet: