ICCV 2023 | Breaking multiple records! Wuhan University & Kuaishou proposed DVIS: Decoupling Video Instance Segmentation Framework - Code World

ICCV 2023 | Breaking multiple records! Wuhan University & Kuaishou proposed DVIS: Decoupling Video Instance Segmentation Framework

Enterprise 2023-08-15 18:44:06 views: null

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Origin blog.csdn.net/amusi1994/article/details/132255926

ICCV 2023 | Breaking multiple records! Wuhan University & Kuaishou proposed DVIS: Decoupling Video Instance Segmentation Framework

ICCV 2023 | Peking University & Nanyang Technological University jointly proposed a new method of open vocabulary instance segmentation CGG: excellent performance and time and space efficiency advantages!

ICCV 2023｜Nanyang Technological University’s open source large-scale language video segmentation dataset MeViS

Segment everything CVPR 2023 | Zhejiang University & Nanyang Technological Institute proposed PADing: a zero-sample universal segmentation framework

ICCV 2023 | Battre plusieurs records ! L'Université de Wuhan et Kuaishou ont proposé DVIS : Découplage du cadre de segmentation des instances vidéo

ICCV 2023 | China University of Science and Technology proposes NVDS: a plug-and-play video depth prediction framework

Top issue IJCV 2023! Beijing Institute of Technology & Princeton proposed: Dark light instance segmentation

ICCV 2023 | Tsinghua & Tianjin University Proposed SurroundOcc: Surround View 3D Occupancy Grid Prediction for Autonomous Driving

CVPR 2023 | Dalian University of Technology and Microsoft proposed SeqTrack: a new framework for target tracking

ICCV 2023 | ¡Rompiendo múltiples récords! La Universidad de Wuhan y Kuaishou propusieron DVIS: marco de segmentación de instancias de video de desacoplamiento

ICCV 2023 | Achieved 90% accuracy on K400 for the first time! The Chinese Academy of Sciences and others proposed UniFormerV2: ViT-based efficient video recognition...

Plug and play! | National Defense University and Technical University of Munich proposed a new type of decoupling head TSCODE: help target detectors to easily increase points!

ICCV 2023 | Plug and play! Shanghai Jiao Tong University proposes AccFlow: a cross-frame optical flow estimation framework

ICCV 2023 | Faster and Stronger! BIT & Megvii proposed StreamPETR: pure visual perception and LiDAR will eventually have the power to fight!...

ICCV 2023 | Fudan & Microsoft proposed ILA: a timing modeling method based on learnable implicit alignment

ICCV2023｜DSConv: Dynamic Serpentine Convolution for Segmentation of Tubular Structures

[Paper Notes] Video Instance Segmentation CVPR2021 Oral——VisTR: End-to-End Video Instance Segmentation with Transformers

DiffBFR: Face restoration based on diffusion model, jointly proposed by Meitu & Chinese University of Science and Technology | ACM MM 2023

ICCV 2023 | Quebrando vários recordes! A Universidade de Wuhan e Kuaishou propuseram DVIS: estrutura de segmentação de instância de vídeo dissociada

[ICCV2023] MMVP: Video prediction based on motion matrix

ICCV 2023 | CLIP-driven universal model for organ segmentation and tumor detection

ICCV 2023 | EfficientViT: SOTA semantic segmentation model for edge device applications, facilitating efficient SAM reasoning

Instance Segmentation 和 Semantic Segmentation

[Computer Vision] The segmentation papers on CVPR 2023 are really a fight between gods (introducing the first 12 papers, image segmentation, panoramic segmentation, semantic segmentation, instance segmentation)

【ICCV 2023】FocalFormer3D : Focusing on Hard Instance for 3D Object Detection

NeurIPS 2023 | Southeast University & Shanghai Subcommittee proposed H2RBox-v2: a new network for rotating target detection

15. The Chinese Academy of Sciences, Suzhou Institute of Higher Education, Shanghai Jiao Tong University, and Harbin Institute of Technology jointly proposed MobileUtr: The Hunger Games in the field of medical image segmentation

2020 Wuhan University Match Record

With the help of OpenCV, multiple frames of images are combined into a video and OpenCV records and saves the video

Warm congratulations to the MMLab team of Nanyang Technological University, Singapore for a total of 20 papers being included in ICCV 2023!

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