4 papers
Seal-Robust KCR: A Robust Kuzushiji Character Recognition Framework under Seal Interference
Rui-Yang Ju, Kohei Yamashita, Hirotaka Kameko +1
Kuzushiji was one of the most widely used cursive writing systems in pre-modern Japan. Due to its highly cursive forms and extensive glyph variations, most modern Japanese readers…
DKDS: A Benchmark Dataset of Degraded Kuzushiji Documents with Seals for Detection and Binarization
Rui-Yang Ju, Kohei Yamashita, Hirotaka Kameko +1
Kuzushiji, a pre-modern Japanese cursive script, can currently be read and understood by only a few thousand trained experts in Japan. With the rapid development of deep learning,…
EgoOops: A Dataset for Mistake Action Detection from Egocentric Videos referring to Procedural Texts
Yuto Haneji, Taichi Nishimura, Hirotaka Kameko +7
Mistake action detection is crucial for developing intelligent archives that detect workers' errors and provide feedback. Existing studies have focused on visually apparent mistake…
BioVL-QR: Egocentric Biochemical Vision-and-Language Dataset Using Micro QR Codes
Tomohiro Nishimoto, Taichi Nishimura, Koki Yamamoto +11
This paper introduces BioVL-QR, a biochemical vision-and-language dataset comprising 23 egocentric experiment videos, corresponding protocols, and vision-and-language alignments. A…