Vision Transformers Are Good Mask Auto-Labelers

Vision Transformers Are Good Mask Auto-Labelers

10 January 2023

Zuxuan Wu

Anima Anandkumar

Papers citing "Vision Transformers Are Good Mask Auto-Labelers"

7 / 7 papers shown

Title
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model Xiuye Gu Yin Cui Jonathan Huang Abdullah M. Rashwan X. Yang ... Golnaz Ghiasi Weicheng Kuo Huizhong Chen Liang-Chieh Chen David A. Ross ISeg 19 26 0 02 Jun 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 283 5,723 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 3,538 0 24 Feb 2021
Conditional Convolutions for Instance Segmentation Zhi Tian Chunhua Shen Hao Chen ISeg 167 596 0 12 Mar 2020
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation Jiwoon Ahn Suha Kwak 213 739 0 28 Mar 2018
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 261 10,106 0 16 Nov 2016