Exploring Transformers for Open-world Instance Segmentation

Exploring Transformers for Open-world Instance Segmentation

8 August 2023

Huchuan Lu

Ping Luo

Papers citing "Exploring Transformers for Open-world Instance Segmentation"

8 / 8 papers shown

Title
DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR Shilong Liu Feng Li Hao Zhang X. Yang Xianbiao Qi Hang Su Jun Zhu Lei Zhang ViT 138 728 0 28 Jan 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,412 0 11 Nov 2021
Objects in Semantic Topology Shuo Yang Pei Sun Yi-Xin Jiang Xiaobo Xia Ruiheng Zhang Zehuan Yuan Changhu Wang Ping Luo Min Xu ObjD 83 29 0 06 Oct 2021
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 239 2,600 0 04 May 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 303 5,761 0 29 Apr 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 263 3,622 0 24 Feb 2021
Self-supervised Co-training for Video Representation Learning Tengda Han Weidi Xie Andrew Zisserman SSL 204 307 0 19 Oct 2020
Conditional Convolutions for Instance Segmentation Zhi Tian Chunhua Shen Hao Chen ISeg 169 597 0 12 Mar 2020