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2020 – today
- 2024
[j2]Taku Sasaki
, Adam S. Walmsley, Kazuki Adachi, Shohei Enomoto, Shin'ya Yamaguchi:
Key Factors Determining the Required Number of Training Images in Person Re-Identification. IEEE Access 12: 135135-135147 (2024)- [j1]Shohei Enomoto, Monikka Roslianna Busto, Takeharu Eda:
Dynamic Test-Time Augmentation via Differentiable Functions. IEEE Access 12: 149593-149605 (2024) - [c7]Kazuki Adachi, Shohei Enomoto, Taku Sasaki, Shin'ya Yamaguchi:
Test-time Similarity Modification for Person Re-identification toward Temporal Distribution Shift. IJCNN 2024: 1-8 - [c6]Shohei Enomoto, Naoya Hasegawa, Kazuki Adachi, Taku Sasaki, Shin'ya Yamaguchi, Satoshi Suzuki, Takeharu Eda:
Test-time Adaptation Meets Image Enhancement: Improving Accuracy via Uncertainty-aware Logit Switching. IJCNN 2024: 1-8 - [i7]Kei Iino, Shunsuke Akamatsu, Hiroshi Watanabe, Shohei Enomoto, Akira Sakamoto, Takeharu Eda:
Improving Image Coding for Machines through Optimizing Encoder via Auxiliary Loss. CoRR abs/2402.08267 (2024) - [i6]Kazuki Adachi, Shohei Enomoto, Taku Sasaki, Shin'ya Yamaguchi:
Test-time Similarity Modification for Person Re-identification toward Temporal Distribution Shift. CoRR abs/2403.14114 (2024) - [i5]Shohei Enomoto, Naoya Hasegawa, Kazuki Adachi, Taku Sasaki, Shin'ya Yamaguchi, Satoshi Suzuki, Takeharu Eda:
Test-time Adaptation Meets Image Enhancement: Improving Accuracy via Uncertainty-aware Logit Switching. CoRR abs/2403.17423 (2024) - [i4]Shohei Enomoto:
EntProp: High Entropy Propagation for Improving Accuracy and Robustness. CoRR abs/2405.18931 (2024) - 2023
- [c5]Shunsuke Akamatsu, Kei Iino, Hiroshi Watanabe, Shohei Enomoto, Xu Shi, Akira Sakamoto, Takeharu Eda:
A Video Object Detection Method of ECNet Based on Frame Difference and Grid Cell Confidence. GCCE 2023: 364-367 - [i3]Shohei Enomoto, Monikka Roslianna Busto, Takeharu Eda:
Incorporating Supervised Domain Generalization into Data Augmentation. CoRR abs/2310.01029 (2023) - 2022
- [c4]Kei Iino, Miho Takahashi, Hiroshi Watanabe, Ichiro Morinaga, Shohei Enomoto, Xu Shi, Akira Sakamoto, Takeharu Eda:
Inter-Feature-Map Differential Coding of Surveillance Video. GCCE 2022: 286-289 - [i2]Shohei Enomoto, Monikka Roslianna Busto, Takeharu Eda:
AugNet: Dynamic Test-Time Augmentation via Differentiable Functions. CoRR abs/2212.04681 (2022) - 2021
- [c3]Shohei Enomoto, Takeharu Eda:
Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems. AAAI 2021: 7331-7339 - [i1]Shohei Enomoto, Takeharu Eda:
Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems. CoRR abs/2104.09286 (2021) - 2020
- [c2]Libo Hu, Tao Wang, Hiroshi Watanabe, Shohei Enomoto, Shi Xu, Akira Sakamoto, Takeharu Eda:
ECNet: A Fast, Accurate, and Lightweight Edge-Cloud Network System based on Cascading Structure. GCCE 2020: 186-189
2010 – 2019
- 2019
- [c1]Takeharu Eda, Sanae Muramatsu, Shohei Enomoto, Shi Xu:
An Expandable Deep Learning Inference Framework With Adjustability to Workload Requirement. ICIP 2019: 2454
Coauthor Index
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