A Case Study Evaluating Improved Performance in Image Classification Through Combination of CBAM and ShuffleNetV2 Model
Lecture Notes in Networks and Systems (LNNS,volume 882); The 13th Conference on Information Technology and Its Applications (CITA 2024) ; pp: 209-218.
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Springer Nature
2024
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| Acceso en liña: | https://elib.vku.udn.vn/handle/123456789/4281 https://doi.org/10.1007/978-3-031-74127-2_18 |
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oai:elib.vku.udn.vn:123456789-42812024-12-06T03:02:51Z A Case Study Evaluating Improved Performance in Image Classification Through Combination of CBAM and ShuffleNetV2 Model Le, QuangThien Tran, Trung Tin Nguyen, Thi Thanh Minh Ngueyn, Chanh Hoai Nam Vo, Khang Nguyen, Quang Anh Vu Case Study Evaluating Improved Performance in Image CBAM and ShuffleNetV2 Model Lecture Notes in Networks and Systems (LNNS,volume 882); The 13th Conference on Information Technology and Its Applications (CITA 2024) ; pp: 209-218. The Attention mechanism is a method that focuses attention on important parts or regions in an image while disregarding unimportant areas. Some methods of Attention mechanism include Channel Attention, Spatial Attention, or a combination of Channel and Spatial Attention. CBAM (Convolutional Block Attention Module) is a method that combines both Channel and Spatial Attention. This paper describes a case study on combining CBAM with the ShuffleNetV2 model to evaluate the effectiveness of improving image classification performance. The ShuffleNetV2 model is trained on the CIFAR-10 dataset combined with CBAM for performance evaluation. The training of the ShuffleNetV2 model has been conducted for approximately 40 epochs. The performance evaluation indicates that the ShuffleNetV2 model combined with CBAM yields Precision 89.5%, Recall 89.4%, F1-score 89.4%, Top-5 error 0.003, and Top-1 error 0.106. In comparison, the ShuffleNetV2 model without CBAM achieves Precision, Recall, F1-score, Top-5 error, and Top-1 error of 88.9%, 88.8%, 0.005, 0.112, respectively. 2024-12-04T09:29:56Z 2024-12-04T09:29:56Z 2024-11 Working Paper 978-3-031-74126-5 https://elib.vku.udn.vn/handle/123456789/4281 https://doi.org/10.1007/978-3-031-74127-2_18 en application/pdf Springer Nature |
| institution |
Trường Đại học Công nghệ Thông tin và Truyền thông Việt Hàn - Đại học Đà Nẵng |
| collection |
DSpace |
| language |
English |
| topic |
Case Study Evaluating Improved Performance in Image CBAM and ShuffleNetV2 Model |
| spellingShingle |
Case Study Evaluating Improved Performance in Image CBAM and ShuffleNetV2 Model Le, QuangThien Tran, Trung Tin Nguyen, Thi Thanh Minh Ngueyn, Chanh Hoai Nam Vo, Khang Nguyen, Quang Anh Vu A Case Study Evaluating Improved Performance in Image Classification Through Combination of CBAM and ShuffleNetV2 Model |
| description |
Lecture Notes in Networks and Systems (LNNS,volume 882); The 13th Conference on Information Technology and Its Applications (CITA 2024) ; pp: 209-218. |
| format |
Working Paper |
| author |
Le, QuangThien Tran, Trung Tin Nguyen, Thi Thanh Minh Ngueyn, Chanh Hoai Nam Vo, Khang Nguyen, Quang Anh Vu |
| author_facet |
Le, QuangThien Tran, Trung Tin Nguyen, Thi Thanh Minh Ngueyn, Chanh Hoai Nam Vo, Khang Nguyen, Quang Anh Vu |
| author_sort |
Le, QuangThien |
| title |
A Case Study Evaluating Improved Performance in Image Classification Through Combination of CBAM and ShuffleNetV2 Model |
| title_short |
A Case Study Evaluating Improved Performance in Image Classification Through Combination of CBAM and ShuffleNetV2 Model |
| title_full |
A Case Study Evaluating Improved Performance in Image Classification Through Combination of CBAM and ShuffleNetV2 Model |
| title_fullStr |
A Case Study Evaluating Improved Performance in Image Classification Through Combination of CBAM and ShuffleNetV2 Model |
| title_full_unstemmed |
A Case Study Evaluating Improved Performance in Image Classification Through Combination of CBAM and ShuffleNetV2 Model |
| title_sort |
case study evaluating improved performance in image classification through combination of cbam and shufflenetv2 model |
| publisher |
Springer Nature |
| publishDate |
2024 |
| url |
https://elib.vku.udn.vn/handle/123456789/4281 https://doi.org/10.1007/978-3-031-74127-2_18 |
| _version_ |
1849198255580119040 |