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cs.CV2025
Towards Better Ultrasound Video Segmentation Foundation Model: An Empirical study on SAM2 Finetuning from Data Perspective
Xing Yao, Ahana Gangopadhyay, Hsi-Ming Chang +1
Ultrasound (US) video segmentation remains a challenging problem due to strong inter- and intra-dataset variability, motion artifacts, and limited annotated data. Although foundati…
cs.CV2019★ 1 cited
Multi-attention Networks for Temporal Localization of Video-level Labels
Lijun Zhang, Srinath Nizampatnam, Ahana Gangopadhyay +1
Temporal localization remains an important challenge in video understanding. In this work, we present our solution to the 3rd YouTube-8M Video Understanding Challenge organized by…