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Shreyank N Gowda*

2 accepted papers

2024

CC-SAM: Enhancing SAM with Cross-feature Attention and Context for Ultrasound Image Segmentation

ECCV 2024poster

"The Segment Anything Model (SAM) has achieved remarkable successes in the realm of natural image segmentation, but its deployment in the medical imaging sphere has encountered challenges. Specifically, the model struggles with medical images that feature low contrast, faint boundaries, intricate mo…

Cited by 2SourcePDFScholar
2024

Optimizing Factorized Encoder Models: Time and Memory Reduction for Scalable and Efficient Action Recognition

ECCV 2024poster

"In this paper, we address the challenges posed by the substantial training time and memory consumption associated with video transformers, focusing on the ViViT (Video Vision Transformer) model, in particular the Factorised Encoder version, as our baseline for action recognition tasks. The factoris…

Cited by 1SourcePDFScholar