MMAL-Net - GitHub
WebThis is a PyTorch implementation of the paper "Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization (MMAL-Net)" (Fan Zhang, Meng Li, Guisheng Zhai, Yizhao Liu), and the paper has been accepted by the 27th International Conference on Multimedia Modeling (MMM2021). Welcome to discuss with us in issues!
MMAL-Net/README.md at master · ZF4444/MMAL-Net · GitHub
WebMMAL-Net. This is a PyTorch implementation of the paper "Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization (MMAL-Net)" (Fan Zhang, Meng Li, Guisheng Zhai, Yizhao Liu), and the paper has been accepted by the 27th International Conference on Multimedia Modeling (MMM2021). Welcome to discuss with us in issues!
Issues · ZF4444/MMAL-Net · GitHub
WebApr 15, 2022 · Updated in the last three days: updated:>2024-04-16 . This is a PyTorch implementation of the paper "Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization (MMAL-Net)" (Fan Zhang, Meng Li, Guisheng Zhai, Yizhao Liu). - Issues · ZF4444/MMAL-Net.
WebThrough the comprehensive experiments demon-strate that our approach can achieves state-of-the-art results on CUB-200-2011, FGVC-Aircraft and Stanford Cars datasets. Our code will be available at https://github.com/ZF1044404254/MMAL-Net. Keywords: FGVC, Classi cation, Attention, Location, Scale.
Multi-branch and Multi-scale Attention Learning for Fine
WebJan 21, 2021 · The inference time of MMAL-Net and NTS-Net are summarized as follows: the running time on an image of NTS-Net is about 5.61 ms, and ours method’s running time on an image is about 1.80 ms. Based on the above analysis, lower model and inference time complexity both add extra practical value to our proposed method.
Multi-branch and Multi-scale Attention Learning for Fine-Grained …
WebMar 20, 2020 · Computer Science. TLDR. Through the comprehensive experiments demonstrate that the multi-branch and multi-scale learning network, MMAL-Net, has good classification ability and robustness for images of different scales and can achieves state-of-the-art results on CUB-200-2011, FGVC-Aircraft …
Multi-branch and Multi-scale Attention Learning for Fine
WebJan 21, 2021 · The three kinds of training images are supervised by our multi-branch network. Therefore, our multi-branch and multi-scale learning network (MMAL-Net) has good classification ability and ...
[Tutorial] - Build (or download) VLC with hardware acceleration …
WebMMAL support is buggy (or I don't know how to make it work better). It works on some video files but not all and sometimes crashes and core dump. This tutorial explains how to build vlc with hardware acceleration for the raspberry pi 2 …
(PDF) Truck model recognition for an automatic overload …
WebAug 10, 2023 · This paper introduces a novel method for detecting truck overloading. The method utilizes the improved MMAL-Net for truck model recognition. Vehicle identification involves using frontal and...
Efficient multi-granularity network for fine-grained image ...
WebJun 30, 2022 · The representative methods are PMG and MMAL-Net . PMG [ 8 ] adopts a progressive learning strategy and cooperates with different scale jigsaw patches for data augmentation. In PMG (as shown in Fig. 1 a), an image is fed into the network repeatedly four times for forward propagation and back-propagation in an epoch, which is …
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