3 papers
cs.CV2026
DISCODE: Distribution-Aware Score Decoder for Robust Automatic Evaluation of Image Captioning
Nakamasa Inoue, Kanoko Goto, Masanari Oi +4
Large vision-language models (LVLMs) have shown impressive performance across a broad range of multimodal tasks. However, robust image caption evaluation using LVLMs remains challe…
cs.CV2025
STATUS Bench: A Rigorous Benchmark for Evaluating Object State Understanding in Vision-Language Models
Mahiro Ukai, Shuhei Kurita, Nakamasa Inoue
Object state recognition aims to identify the specific condition of objects, such as their positional states (e.g., open or closed) and functional states (e.g., on or off). While r…
cs.CV2025
Referring Expression Comprehension for Small Objects
Kanoko Goto, Takumi Hirose, Mahiro Ukai +2
Referring expression comprehension (REC) aims to localize the target object described by a natural language expression. Recent advances in vision-language learning have led to sign…