Matcher: Segment Anything with One Shot Using All-Purpose Feature
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Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching

22 May 2023

Yang Liu

Hao Chen

Chunhua Shen

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Papers citing "Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching"

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Title
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 677 24,541 0 26 Jul 2019
A Generative Appearance Model for End-to-end Video Object Segmentation Joakim Johnander Martin Danelljan Emil Brissman Fahad Shahbaz Khan Michael Felsberg VOS 150 193 0 28 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,175 0 11 Oct 2018
One-Shot Learning for Semantic Segmentation Amirreza Shaban Shray Bansal Ziqiang Liu Irfan Essa Byron Boots SSeg VLM 118 704 0 11 Sep 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 730 132,363 0 12 Jun 2017
The 2017 DAVIS Challenge on Video Object Segmentation Jordi Pont-Tuset Federico Perazzi Sergi Caelles Pablo Arbeláez A. Sorkine-Hornung Luc Van Gool VGen VOS 87 1,217 0 03 Apr 2017
Detect What You Can: Detecting and Representing Objects using Holistic Models and Body Parts Xianjie Chen Roozbeh Mottaghi Xiaobai Liu Sanja Fidler R. Urtasun Alan Yuille 98 642 0 08 Jun 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 424 43,814 0 01 May 2014