Summary of Robust Box Prompt Based Sam For Medical Image Segmentation, by Yuhao Huang et al.
Robust Box Prompt based SAM for Medical Image Segmentationby Yuhao Huang, Xin Yang, Han Zhou,…
Summary of Improving Sam Requires Rethinking Its Optimization Formulation, by Wanyun Xie et al.
Improving SAM Requires Rethinking its Optimization Formulationby Wanyun Xie, Fabian Latorre, Kimon Antonakopoulos, Thomas Pethick,…
Summary of Lite-sam Is Actually What You Need For Segment Everything, by Jianhai Fu et al.
Lite-SAM Is Actually What You Need for Segment Everythingby Jianhai Fu, Yuanjie Yu, Ningchuan Li,…
Summary of Knowledge Distillation to Effectively Attain Both Region-of-interest and Global Semantics From An Image Where Multiple Objects Appear, by Seonwhee Jin
Knowledge distillation to effectively attain both region-of-interest and global semantics from an image where multiple…
Summary of Unsupervised Fault Detection Using Sam with a Moving Window Approach, by Ahmed Maged and Herman Shen
Unsupervised Fault Detection using SAM with a Moving Window Approachby Ahmed Maged, Herman ShenFirst submitted…
Summary of The Solution For the 5th Gcaiac Zero-shot Referring Expression Comprehension Challenge, by Longfei Huang et al.
The Solution for the 5th GCAIAC Zero-shot Referring Expression Comprehension Challengeby Longfei Huang, Feng Yu,…
Summary of Multimodal Classification Via Modal-aware Interactive Enhancement, by Qing-yuan Jiang et al.
Multimodal Classification via Modal-Aware Interactive Enhancementby Qing-Yuan Jiang, Zhouyang Chi, Yang YangFirst submitted to arxiv…
Summary of Segment Anything Without Supervision, by Xudong Wang and Jingfeng Yang and Trevor Darrell
Segment Anything without Supervisionby XuDong Wang, Jingfeng Yang, Trevor DarrellFirst submitted to arxiv on: 28…
Summary of Segment Anything Model For Automated Image Data Annotation: Empirical Studies Using Text Prompts From Grounding Dino, by Fuseini Mumuni et al.
Segment Anything Model for automated image data annotation: empirical studies using text prompts from Grounding…
Summary of Composition Vision-language Understanding Via Segment and Depth Anything Model, by Mingxiao Huo et al.
Composition Vision-Language Understanding via Segment and Depth Anything Modelby Mingxiao Huo, Pengliang Ji, Haotian Lin,…