Summary of Iscute: Instance Segmentation Of Cables Using Text Embedding, by Shir Kozlovsky et al.
ISCUTE: Instance Segmentation of Cables Using Text Embeddingby Shir Kozlovsky, Omkar Joglekar, Dotan Di CastroFirst…
Summary of A Multispectral Automated Transfer Technique (matt) For Machine-driven Image Labeling Utilizing the Segment Anything Model (sam), by James E. Gallagher et al.
A Multispectral Automated Transfer Technique (MATT) for machine-driven image labeling utilizing the Segment Anything Model…
Summary of Efficientvit-sam: Accelerated Segment Anything Model Without Accuracy Loss, by Zhuoyang Zhang et al.
EfficientViT-SAM: Accelerated Segment Anything Model Without Accuracy Lossby Zhuoyang Zhang, Han Cai, Song HanFirst submitted…
Summary of Applying Unsupervised Semantic Segmentation to High-resolution Uav Imagery For Enhanced Road Scene Parsing, by Zihan Ma et al.
Applying Unsupervised Semantic Segmentation to High-Resolution UAV Imagery for Enhanced Road Scene Parsingby Zihan Ma,…
Summary of Convolution Meets Lora: Parameter Efficient Finetuning For Segment Anything Model, by Zihan Zhong et al.
Convolution Meets LoRA: Parameter Efficient Finetuning for Segment Anything Modelby Zihan Zhong, Zhiqiang Tang, Tong…
Summary of Momentum-sam: Sharpness Aware Minimization Without Computational Overhead, by Marlon Becker et al.
Momentum-SAM: Sharpness Aware Minimization without Computational Overheadby Marlon Becker, Frederick Altrock, Benjamin RisseFirst submitted to…
Summary of Neglected Hessian Component Explains Mysteries in Sharpness Regularization, by Yann N. Dauphin et al.
Neglected Hessian component explains mysteries in Sharpness regularizationby Yann N. Dauphin, Atish Agarwala, Hossein MobahiFirst…
Summary of Stabilizing Sharpness-aware Minimization Through a Simple Renormalization Strategy, by Chengli Tan et al.
Stabilizing Sharpness-aware Minimization Through A Simple Renormalization Strategyby Chengli Tan, Jiangshe Zhang, Junmin Liu, Yicheng…
Summary of Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt, by Jiaqi Liu et al.
Unsupervised Continual Anomaly Detection with Contrastively-learned Promptby Jiaqi Liu, Kai Wu, Qiang Nie, Ying Chen,…