暂无搜索历史
这篇论文开辟了一个新的研究方向,即在低光条件下进行实例分割。它是第一篇系统性地建立了低光条件下实例分割的训练和测试验证框架的论文(划重点,可以卷的新方向!)。
1.Instance Segmentation in the Dark(IJCV 2023)
1.DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving
1.Leveraging Contextual Information for Effective Entity Salience Detection
作者:Shengqiong Wu, Hao Fei, Leigang Qu, Wei Ji, Tat-Seng Chua
作者:Chen Geng, Hong-Xing Yu, Sharon Zhang, Maneesh Agrawala, Jiajun Wu
1.OmnimatteRF: Robust Omnimatte with 3D Background Modeling(ICCV 2023)
作者:Sacha Lewin, Maxime Vandegar, Thomas Hoyoux, Olivier Barnich, Gilles Louppe
作者:Yao Feng, Weiyang Liu, Timo Bolkart, Jinlong Yang, Marc Pollefeys, Michael J....
作者:Yi-Ling Qiao, Alexander Gao, Yiran Xu, Yue Feng, Jia-Bin Huang, Ming C. Lin
1.Character Queries: A Transformer-based Approach to On-Line Handwritten Charact...
1.Mobile V-MoEs: Scaling Down Vision Transformers via Sparse Mixture-of-Experts
1.DiffusionEngine: Diffusion Model is Scalable Data Engine for Object Detection
1.Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields
1.PromptTTS 2: Describing and Generating Voices with Text Prompt
1.MagicProp: Diffusion-based Video Editing via Motion-aware Appearance Propagati...
1.FACET: Fairness in Computer Vision Evaluation Benchmark
1.AnomalyGPT: Detecting Industrial Anomalies using Large Vision-Language Models
1.PointLLM: Empowering Large Language Models to Understand Point Clouds
1.CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimoda...
暂未填写公司和职称
暂未填写学校和专业
暂未填写个人网址