- Fine|grained image classification method based on hybrid attention ...🔍
- Hybrid ViT|CNN Network for Fine|Grained Image Classification🔍
- Hybrid Feature Collaborative Reconstruction Network for Few|Shot ...🔍
- Dual attention interactive fine|grained classification network based ...🔍
- Fine|grained Image Classification Based on Knowledge Distillation🔍
- Attention|guided and fine|grained feature extraction from face ...🔍
- Fine|Grained Image Classification for Crop Disease ...🔍
- An Optimized Hybrid Transformer for Enhanced Ultra|Fine|Grained ...🔍
Fine|grained image classification method based on hybrid attention ...
Fine-grained image classification method based on hybrid attention ...
This study introduces a new network model for fine-grained image classification, which utilizes a hybrid attention approach.
Fine-grained image classification method based on hybrid attention ...
To efficiently capture feature information in tasks of fine-grained image classification, this study introduces a new network model for ...
Fine-grained image classification method based on hybrid attention ...
Fine-grained image classification method based on hybrid attention module. Front Neurorobot. 2024 May 3:18:1391791. doi: 10.3389/fnbot.2024.1391791.
(PDF) Fine-grained image classification method based on hybrid ...
The model is built upon a hybrid attention module (MA), and with the assistance of the attention erasure module (EA), it can adaptively enhance ...
Hybrid ViT-CNN Network for Fine-Grained Image Classification
... fine-grained visual classification (FGVC) because of its self-attention mecha. ... method surpasses state-of-the-art methods on publicly datasets.
Hybrid Feature Collaborative Reconstruction Network for Few-Shot ...
This reconstruction-based approach has shown remarkable performance in few-shot fine-grained image classification and has brought new insights ...
Dual attention interactive fine-grained classification network based ...
The key to fine-grained image classification is to find discriminative regions. Most existing methods only use simple baseline networks or low-recognition ...
Fine-grained image classification method based on hybrid attention ...
Article "Fine-grained image classification method based on hybrid attention module" Detailed information of the J-GLOBAL is an ...
Fine-grained Image Classification Based on Knowledge Distillation
... fine-grained images by embedding a hybrid-domain attention module to achieve higher accuracy in recognition. Specifically, under the premise of reducing ...
Attention-guided and fine-grained feature extraction from face ...
Appearance-based approaches gather eye/face images for gaze estimation using a camera. ... Yue Zhang proposed a fine-grained image classification method named ...
Fine-grained image classification method based on hybrid attention ...
Article "Fine-grained image classification method based on hybrid attention module" Detailed information of the J-GLOBAL is an information service managed ...
Fine-Grained Image Classification for Crop Disease ... - Frontiers
Section Materials and methods introduces the main experimental dataset and our proposed fine-grained fine-tuning classification algorithm based on the attention ...
An Optimized Hybrid Transformer for Enhanced Ultra-Fine-Grained ...
... method of identifying lithology based on image recognition ... Rock Image Classification Based on EfficientNet and Triplet Attention Mechanism.
(PDF) Fine-Grained Image Classification Based on Cross-Attention ...
with current mainstream state-of-the-art methods on multiple datasets.. Cross-Attention, Data Augmentation, Fine-Grained Images, Multi- ...
arkel23/AFGIC: Awesome Fine-Grained Image Classification - GitHub
Fine-grained visual classification with multi-scale features based on self-supervised attention filtering mechanism.
Fine-Grained Few-Shot Image Classification Based on Feature Dual ...
... classification. For example, Zhu et al. [4] applied meta-learning methods based on multiple attention mechanisms to fine-grained recognition, enabling the ...
[PDF] Aircraft Image Recognition Network Based on Hybrid Attention ...
... attention and region-based feature representation at multiple scales in a mutual reinforced way and achieves the best performance in three fine-grained tasks.
Fine-Grained Image Classification - Papers With Code
... Hybrid Approach for Fine-Grained Classification ... Where to Focus: Deep Attention-based Spatially Recurrent Bilinear Networks for Fine-Grained Visual Recognition.
Fine-grained image classification method based on hybrid attention ...
Fine-grained image classification method based on hybrid attention module. Front. Neurorobotics Pub Date : 2024-05-03. DOI : 10.3389/fnbot.2024.1391791.
Aircraft Image Recognition Network Based on Hybrid Attention ...
With the deepening of deep learning research, progress has been made in artificial intelligence. In the process of aircraft classification, ...