3 papers
cs.CV2026
Improving Image Coding for Machines through Optimizing Encoder via Auxiliary Loss
Kei Iino, Shunsuke Akamatsu, Hiroshi Watanabe +3
Image coding for machines (ICM) aims to compress images for machine analysis using recognition models rather than human vision. Hence, in ICM, it is important for the encoder to re…
cs.CV2024
Inter-Feature-Map Differential Coding of Surveillance Video
Kei Iino, Miho Takahashi, Hiroshi Watanabe +5
In Collaborative Intelligence, a deep neural network (DNN) is partitioned and deployed at the edge and the cloud for bandwidth saving and system optimization. When a model input is…
cs.CV2024
Dynamic Test-Time Augmentation via Differentiable Functions
Shohei Enomoto, Monikka Roslianna Busto, Takeharu Eda
Distribution shifts, which often occur in the real world, degrade the accuracy of deep learning systems, and thus improving robustness to distribution shifts is essential for pract…