Showing cs.CVShow all
3 papers · 1 filter
cs.CV2026
Rigel: Self-Distilled Score Adaptation for Image and Video Captioning Evaluation
Shuitsu Koyama, Kazuki Matsuda, Yuiga Wada +3
Automatic evaluation of image and video captioning is essential for benchmarking multimodal systems, although standard evaluation metrics show limited alignment with human judgment…
cs.CV2026
MLLM-as-a-Judge Exhibits Model Preference Bias
Shuitsu Koyama, Yuiga Wada, Daichi Yashima +1
Automatic evaluation using multimodal large language models (MLLMs), commonly referred to as MLLM-as-a-Judge, has been widely used to measure model performance. If such MLLM-as-a-J…
cs.CV2026
Neural Stochastic Processes for Satellite Precipitation Refinement
Shunya Nagashima, Takumi Bannai, Shuitsu Koyama +2
Accurate precipitation estimation is critical for flood forecasting, water resource management, and disaster preparedness. Satellite products provide global hourly coverage but con…