Rethinking Batch Sample Relationships for Data Representation: A Batch-Graph Transformer based Approach

19 November 2022

Papers citing "Rethinking Batch Sample Relationships for Data Representation: A Batch-Graph Transformer based Approach"

42 / 42 papers shown

Title
Intra-class Adaptive Augmentation with Neighbor Correction for Deep Metric Learning Zheren Fu Zhendong Mao Bo Hu An-an Liu Yongdong Zhang 52 5 0 29 Nov 2022
Vision GNN: An Image is Worth Graph of Nodes Kai Han Yunhe Wang Jianyuan Guo Yehui Tang Enhua Wu GNN 3DH 80 366 0 01 Jun 2022
SparseTT: Visual Tracking with Sparse Transformers Z. Fu Zehua Fu Qingjie Liu Wenrui Cai Yunhong Wang ViT 83 123 0 08 May 2022
NFormer: Robust Person Re-identification with Neighbor Transformer Haochen Wang Jiayi Shen Yongtuo Liu Yan Gao E. Gavves ViT 68 124 0 20 Apr 2022
BatchFormerV2: Exploring Sample Relationships for Dense Representation Learning Zhi Hou Baosheng Yu Chaoyue Wang Yibing Zhan Dacheng Tao ViT 88 13 0 04 Apr 2022
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning Aleksandr Ermolov L. Mirvakhabova Valentin Khrulkov N. Sebe Ivan Oseledets 66 104 0 21 Mar 2022
BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning Zhi Hou B. Yu Dacheng Tao ViT 134 63 0 03 Mar 2022
Structure-Aware Transformer for Graph Representation Learning Dexiong Chen Leslie O’Bray Karsten Borgwardt 84 252 0 07 Feb 2022
Learning Disentangled Representation Implicitly via Transformer for Occluded Person Re-Identification Mengxi Jia Xinhua Cheng Shijian Lu Jian Zhang ViT 73 136 0 06 Jul 2021
Do Transformers Really Perform Bad for Graph Representation? Chengxuan Ying Tianle Cai Shengjie Luo Shuxin Zheng Guolin Ke Di He Yanming Shen Tie-Yan Liu GNN 95 442 0 09 Jun 2021
DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification Yongming Rao Wenliang Zhao Benlin Liu Jiwen Lu Jie Zhou Cho-Jui Hsieh ViT 90 699 0 03 Jun 2021
Beyond Self-attention: External Attention using Two Linear Layers for Visual Tasks Meng-Hao Guo Zheng-Ning Liu Tai-Jiang Mu Shimin Hu 64 496 0 05 May 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 694 6,121 0 29 Apr 2021
Revisiting Local Descriptor for Improved Few-Shot Classification J. He Richang Hong Xueliang Liu Mingliang Xu Qianru Sun 57 26 0 30 Mar 2021
Transformer Tracking Xin Chen Bin Yan Jiawen Zhu Dong Wang Xiaoyun Yang Huchuan Lu ViT 69 960 0 29 Mar 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin B. Guo ViT 458 21,439 0 25 Mar 2021
Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking Ning Wang Wen-gang Zhou Jie Wang Houqiang Li ViT 78 534 0 22 Mar 2021
Training Vision Transformers for Image Retrieval Alaaeldin El-Nouby Natalia Neverova Ivan Laptev Hervé Jégou ViT 126 159 0 10 Feb 2021
TransReID: Transformer-based Object Re-Identification Shuting He Haowen Luo Pichao Wang F. Wang Hao Li Wei Jiang ViT 270 818 0 08 Feb 2021
Training data-efficient image transformers & distillation through attention Hugo Touvron Matthieu Cord Matthijs Douze Francisco Massa Alexandre Sablayrolles Hervé Jégou ViT 389 6,793 0 23 Dec 2020
Rethinking Transformer-based Set Prediction for Object Detection Zhiqing Sun Shengcao Cao Yiming Yang Kris Kitani ViT 123 323 0 21 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 667 41,369 0 22 Oct 2020
End-to-End Object Detection with Transformers Nicolas Carion Francisco Massa Gabriel Synnaeve Nicolas Usunier Alexander Kirillov Sergey Zagoruyko ViT 3DV PINN 421 13,048 0 26 May 2020
ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis Eu Wern Teh Terrance Devries Graham W. Taylor 63 158 0 02 Apr 2020
Proxy Anchor Loss for Deep Metric Learning Sungyeon Kim Dongwon Kim Minsu Cho Suha Kwak 61 358 0 31 Mar 2020
Cross-Batch Memory for Embedding Learning Xun Wang H. Zhang Weilin Huang Matthew R. Scott 129 247 0 14 Dec 2019
MIC: Mining Interclass Characteristics for Improved Metric Learning Karsten Roth Biagio Brattoli Bjorn Ommer 61 89 0 25 Sep 2019
SoftTriple Loss: Deep Metric Learning Without Triplet Sampling Qi Qian Lei Shang Baigui Sun Juhua Hu Hao Li Rong Jin 66 374 0 11 Sep 2019
Multi-Similarity Loss with General Pair Weighting for Deep Metric Learning Xun Wang Xintong Han Weilin Huang Dengke Dong Matthew R. Scott 80 754 0 14 Apr 2019
Deep Metric Learning with Hierarchical Triplet Loss Weifeng Ge Weilin Huang Dengke Dong Matthew R. Scott 171 413 0 16 Oct 2018
Learning Human-Object Interactions by Graph Parsing Neural Networks Siyuan Qi Wenguan Wang Baoxiong Jia Jianbing Shen Song-Chun Zhu GNN 82 537 0 23 Aug 2018
Attention-based Ensemble for Deep Metric Learning Wonsik Kim Bhavya Goyal Kunal Chawla Jungmin Lee Keunjoo Kwon FedML 81 227 0 02 Apr 2018
Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly M. Opitz Georg Waltner Horst Possegger Horst Bischof FedML OOD 88 166 0 15 Jan 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 479 20,225 0 30 Oct 2017
Sampling Matters in Deep Embedding Learning Chaoxia Wu R. Manmatha Alex Smola Philipp Krahenbuhl 102 923 0 23 Jun 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 722 132,199 0 12 Jun 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 644 29,076 0 09 Sep 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,322 0 10 Dec 2015
Deep Metric Learning via Lifted Structured Feature Embedding Hyun Oh Song Yu Xiang Stefanie Jegelka Silvio Savarese FedML SSL DML 94 1,643 0 19 Nov 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,328 0 11 Feb 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 480 43,685 0 17 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,590 0 01 Sep 2014