Cita APA (7a ed.)

Hsu, C., Wu, I., Tseng, W., Cheng, C., Wu, M., Jiang, J., & Hsiao, Y. (2025). Technical Report for ICRA 2025 GOOSE 2D Semantic Segmentation Challenge: Leveraging Color Shift Correction, RoPE-Swin Backbone, and Quantile-based Label Denoising Strategy for Robust Outdoor Scene Understanding.

Cita Chicago Style (17a ed.)

Hsu, Chih-Chung, I-Hsuan Wu, Wen-Hai Tseng, Ching-Heng Cheng, Ming-Hsuan Wu, Jin-Hui Jiang, y Yu-Jou Hsiao. Technical Report for ICRA 2025 GOOSE 2D Semantic Segmentation Challenge: Leveraging Color Shift Correction, RoPE-Swin Backbone, and Quantile-based Label Denoising Strategy for Robust Outdoor Scene Understanding. 2025.

Cita MLA (9a ed.)

Hsu, Chih-Chung, et al. Technical Report for ICRA 2025 GOOSE 2D Semantic Segmentation Challenge: Leveraging Color Shift Correction, RoPE-Swin Backbone, and Quantile-based Label Denoising Strategy for Robust Outdoor Scene Understanding. 2025.

Precaución: Estas citas no son 100% exactas.