الملخص
Generalized referring expression segmentation (GRES) requires dynamically balancing high-level semantics for identifying a variable number of language-specified referents with fine-grained visual evidence for precise boundary delineation. This requirement challenges existing cascaded vision-language architectures, which typically rely on static feature interfaces and single-pass mask prediction, limiting adaptive perception and geometric correction. We introduce ContourVLA, a vision-language-action policy that recasts GRES as a closed-loop visuomotor process, in which editable contours serve as explicit policy states that condition multimodal perception and are updated by geometric action chunks. Evolution-Aware Semantic Scheduling (EASS) couples contour-guided bidirectional boundary sampling with state-conditioned routing of multilevel multimodal features, adapting perception to each contour state. Following supervised initialization, Dustbin-Augmented Entropic Credit Transport GRPO (DECT-GRPO) jointly optimizes discrete grounding and continuous contour actions with instance-level credits. Its rollout rewards and credits are derived from soft prediction-target correspondences that account for false positives and missed targets. ContourVLA improves gIoU over the strongest evaluated baselines by 8.7, 2.8, and 2.7 points on gRefCOCO val, testA, and testB, respectively, and achieves the highest mIoU across all eight RefCOCO, RefCOCO+, and RefCOCOg splits.
الكلمات المفتاحية
الموضوع
بيانات النشر
- المجلة
- غير متاح
- وصول مفتوح
- وصول مفتوح أخضر
اقتبس هذه المقالة
APA 7
Zhang, R., Shen, K., Hou, J., Yang, S., Huang, J., Zhang, K., Zhou, J., Jiang, L., & Zhao, S. (2026). ContourVLA: A Closed-Loop Perception-Action Contour Policy for Generalized Referring Expression Segmentation. https://omanscience.com/ar/articles/contourvla-a-closed-loop-perception-action-contour-policy-for-generalized-referring-expression-segmentation
MLA 9
Zhang, Ruicheng, et al. "ContourVLA: A Closed-Loop Perception-Action Contour Policy for Generalized Referring Expression Segmentation." https://omanscience.com/ar/articles/contourvla-a-closed-loop-perception-action-contour-policy-for-generalized-referring-expression-segmentation.
شيكاغو (المؤلف–التاريخ)
Zhang, Ruicheng, Kaiwen Shen, Jiaqi Hou, Shuhan Yang, Junchao Huang, Kewei Zhang, Jun Zhou, Li Jiang, and Shen Zhao. 2026. "ContourVLA: A Closed-Loop Perception-Action Contour Policy for Generalized Referring Expression Segmentation." https://omanscience.com/ar/articles/contourvla-a-closed-loop-perception-action-contour-policy-for-generalized-referring-expression-segmentation.
هارفارد
Zhang, R., Shen, K., Hou, J., Yang, S., Huang, J., Zhang, K., Zhou, J., Jiang, L. and Zhao, S. (2026) 'ContourVLA: A Closed-Loop Perception-Action Contour Policy for Generalized Referring Expression Segmentation', Available at: https://omanscience.com/ar/articles/contourvla-a-closed-loop-perception-action-contour-policy-for-generalized-referring-expression-segmentation.
فانكوفر
Zhang R, Shen K, Hou J, Yang S, Huang J, Zhang K, et al. ContourVLA: A Closed-Loop Perception-Action Contour Policy for Generalized Referring Expression Segmentation. https://omanscience.com/ar/articles/contourvla-a-closed-loop-perception-action-contour-policy-for-generalized-referring-expression-segmentation
IEEE
R. Zhang, K. Shen, J. Hou, S. Yang, J. Huang, K. Zhang, J. Zhou, L. Jiang, and S. Zhao, "ContourVLA: A Closed-Loop Perception-Action Contour Policy for Generalized Referring Expression Segmentation," https://omanscience.com/ar/articles/contourvla-a-closed-loop-perception-action-contour-policy-for-generalized-referring-expression-segmentation.