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 Hydragen: High-throughput Llm Inference with Shared Prefixes, by Jordan Juravsky et al.
Hydragen: High-Throughput LLM Inference with Shared Prefixesby Jordan Juravsky, Bradley Brown, Ryan Ehrlich, Daniel Y.…
Summary of Open-vocabulary Calibration For Fine-tuned Clip, by Shuoyuan Wang et al.
Open-Vocabulary Calibration for Fine-tuned CLIPby Shuoyuan Wang, Jindong Wang, Guoqing Wang, Bob Zhang, Kaiyang Zhou,…
Summary of Ovor: Oneprompt with Virtual Outlier Regularization For Rehearsal-free Class-incremental Learning, by Wei-cheng Huang et al.
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learningby Wei-Cheng Huang, Chun-Fu Chen, Hsiang…
Summary of Connecting the Dots: Collaborative Fine-tuning For Black-box Vision-language Models, by Zhengbo Wang et al.
Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Modelsby Zhengbo Wang, Jian Liang, Ran He,…
Summary of Clip Can Understand Depth, by Dunam Kim et al.
CLIP Can Understand Depthby Dunam Kim, Seokju LeeFirst submitted to arxiv on: 5 Feb 2024CategoriesMain:…
Summary of Empowering Time Series Analysis with Large Language Models: a Survey, by Yushan Jiang et al.
Empowering Time Series Analysis with Large Language Models: A Surveyby Yushan Jiang, Zijie Pan, Xikun…
Summary of Intent-based Prompt Calibration: Enhancing Prompt Optimization with Synthetic Boundary Cases, by Elad Levi et al.
Intent-based Prompt Calibration: Enhancing prompt optimization with synthetic boundary casesby Elad Levi, Eli Brosh, Matan…
Summary of Enhancing Transformer Rnns with Multiple Temporal Perspectives, by Razvan-gabriel Dumitru et al.
Enhancing Transformer RNNs with Multiple Temporal Perspectivesby Razvan-Gabriel Dumitru, Darius Peteleaza, Mihai SurdeanuFirst submitted to…
Summary of Revisiting the Power Of Prompt For Visual Tuning, by Yuzhu Wang et al.
Revisiting the Power of Prompt for Visual Tuningby Yuzhu Wang, Lechao Cheng, Chaowei Fang, Dingwen…