PVG: Progressive Vision Graph for Vision Recognition

PVG: Progressive Vision Graph for Vision Recognition

1 August 2023

Jiangning Zhang

Yabiao Wang

Chengjie Wang

Papers citing "PVG: Progressive Vision Graph for Vision Recognition"

12 / 12 papers shown

Title
Swin DiT: Diffusion Transformer using Pseudo Shifted Windows Jiafu Wu Yabiao Wang Jian Li Jinlong Peng Yun Cao Chengjie Wang Jiangning Zhang 9 0 0 19 May 2025
HGFormer: Topology-Aware Vision Transformer with HyperGraph Learning Hao Wang Shuo Zhang Biao Leng ViT 82 1 0 03 Apr 2025
StyledStreets: Multi-style Street Simulator with Spatial and Temporal Consistency Yuyin Chen Yida Wang X. Zhang Kun Zhan Peng Jia Yifei Zhan Xianpeng Lang 3DGS 52 0 0 27 Mar 2025
GreedyViG: Dynamic Axial Graph Construction for Efficient Vision GNNs Mustafa Munir William Avery Md Mostafijur Rahman R. Marculescu GNN 58 12 0 10 May 2024
DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection Haoyang He Jiangning Zhang Hongxu Chen Xuhai Chen Zhishan Li Xu Chen Yabiao Wang Chengjie Wang Lei Xie DiffM 30 28 0 11 Dec 2023
VSViG: Real-time Video-based Seizure Detection via Skeleton-based Spatiotemporal ViG Yankun Xu Junzhe Wang Yun-Hsuan Chen Jie Yang Wenjie Ming Shuangquan Wang Mohamad Sawan 17 0 0 24 Nov 2023
ASFD: Automatic and Scalable Face Detector Jian Li Bin Zhang Yabiao Wang Ying Tai Feiyue Huang Chengjie Wang Jilin Li Wenjiang Pei Yili Xia CVBM 55 43 0 26 Jan 2022
ResNet strikes back: An improved training procedure in timm Ross Wightman Hugo Touvron Hervé Jégou AI4TS 212 487 0 01 Oct 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT 316 3,633 0 24 Feb 2021
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 279 1,948 0 09 Jun 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,599 0 17 Apr 2017
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 263 1,812 0 25 Nov 2016