6 citations · 30 across the 37 of their papers we have counts for
5 papers · 2 filters
Adapter Merging with Centroid Prototype Mapping for Scalable Class-Incremental Learning
Takuma Fukuda, Hiroshi Kera, Kazuhiko Kawamoto
We propose Adapter Merging with Centroid Prototype Mapping (ACMap), an exemplar-free framework for class-incremental learning (CIL) that addresses both catastrophic forgetting and…
Explaining Object Detectors via Collective Contribution of Pixels
Toshinori Yamauchi, Hiroshi Kera, Kazuhiko Kawamoto
Visual explanations for object detectors are crucial for enhancing their reliability. Object detectors identify and localize instances by assessing multiple visual features collect…
Low-Quality Image Detection by Hierarchical VAE
Tomoyasu Nanaumi, Kazuhiko Kawamoto, Hiroshi Kera
To make an employee roster, photo album, or training dataset of generative models, one needs to collect high-quality images while dismissing low-quality ones. This study addresses…
Matching Semantically Similar Non-Identical Objects
Yusuke Marumo, Kazuhiko Kawamoto, Satomi Tanaka +2
Not identical but similar objects are ubiquitous in our world, ranging from four-legged animals such as dogs and cats to cars of different models and flowers of various colors. Thi…
Identifying Important Group of Pixels using Interactions
Kosuke Sumiyasu, Kazuhiko Kawamoto, Hiroshi Kera
To better understand the behavior of image classifiers, it is useful to visualize the contribution of individual pixels to the model prediction. In this study, we propose a method,…