Summary of Expand Vsr Benchmark For Vllm to Expertize in Spatial Rules, by Peijin Xie et al.
Expand VSR Benchmark for VLLM to Expertize in Spatial Rulesby Peijin Xie, Lin Sun, Bingquan…
Summary of Generalizable Articulated Object Perception with Superpoints, by Qiaojun Yu et al.
Generalizable Articulated Object Perception with Superpointsby Qiaojun Yu, Ce Hao, Xibin Yuan, Li Zhang, Liu…
Summary of Relational Programming with Foundation Models, by Ziyang Li et al.
Relational Programming with Foundation Modelsby Ziyang Li, Jiani Huang, Jason Liu, Felix Zhu, Eric Zhao,…
Summary of Sauge: Taming Sam For Uncertainty-aligned Multi-granularity Edge Detection, by Xing Liufu et al.
SAUGE: Taming SAM for Uncertainty-Aligned Multi-Granularity Edge Detectionby Xing Liufu, Chaolei Tan, Xiaotong Lin, Yonggang…
Summary of Samodified: a Foundation Model-based Zero-shot Approach For Refining Noisy Land-use Land-cover Maps, by Sparsh Pekhale et al.
SAModified: A Foundation Model-Based Zero-Shot Approach for Refining Noisy Land-Use Land-Cover Mapsby Sparsh Pekhale, Rakshith…
Summary of Adapting Segment Anything Model (sam) to Experimental Datasets Via Fine-tuning on Gan-based Simulation: a Case Study in Additive Manufacturing, by Anika Tabassum et al.
Adapting Segment Anything Model (SAM) to Experimental Datasets via Fine-Tuning on GAN-based Simulation: A Case…
Summary of Radiov2.5: Improved Baselines For Agglomerative Vision Foundation Models, by Greg Heinrich et al.
RADIOv2.5: Improved Baselines for Agglomerative Vision Foundation Modelsby Greg Heinrich, Mike Ranzinger, Hongxu, Yao Lu,…
Summary of Customize Segment Anything Model For Multi-modal Semantic Segmentation with Mixture Of Lora Experts, by Chenyang Zhu et al.
Customize Segment Anything Model for Multi-Modal Semantic Segmentation with Mixture of LoRA Expertsby Chenyang Zhu,…
Summary of Beyond Local Sharpness: Communication-efficient Global Sharpness-aware Minimization For Federated Learning, by Debora Caldarola et al.
Beyond Local Sharpness: Communication-Efficient Global Sharpness-aware Minimization for Federated Learningby Debora Caldarola, Pietro Cagnasso, Barbara…
Summary of Med-persam: One-shot Visual Prompt Tuning For Personalized Segment Anything Model in Medical Domain, by Hangyul Yoon et al.
Med-PerSAM: One-Shot Visual Prompt Tuning for Personalized Segment Anything Model in Medical Domainby Hangyul Yoon,…