Betrayed by Attention: A Simple yet Effective Approach for
Self-supervised Video Object Segmentation

Betrayed by Attention: A Simple yet Effective Approach for Self-supervised Video Object Segmentation

29 November 2023

Dahua Lin

Papers citing "Betrayed by Attention: A Simple yet Effective Approach for Self-supervised Video Object Segmentation"

6 / 6 papers shown

Title
Rethinking Image-to-Video Adaptation: An Object-centric Perspective Rui Qian Shuangrui Ding Dahua Lin OCL 52 1 0 09 Jul 2024
AiluRus: A Scalable ViT Framework for Dense Prediction Jin Li Yaoming Wang Xiaopeng Zhang Bowen Shi Dongsheng Jiang Chenglin Li Wenrui Dai Hongkai Xiong Qi Tian 57 5 0 02 Nov 2023
Guess What Moves: Unsupervised Video and Image Segmentation by Anticipating Motion Subhabrata Choudhury Laurynas Karazija Iro Laina Andrea Vedaldi Christian Rupprecht OCL VOS 105 39 0 16 May 2022
Localizing Objects with Self-Supervised Transformers and no Labels Oriane Siméoni Gilles Puy Huy V. Vo Simon Roburin Spyros Gidaris Andrei Bursuc P. Pérez Renaud Marlet Jean Ponce ViT 180 196 0 29 Sep 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 317 5,785 0 29 Apr 2021
Is Space-Time Attention All You Need for Video Understanding? Gedas Bertasius Heng Wang Lorenzo Torresani ViT 280 1,982 0 09 Feb 2021