In-N-Out Generative Learning for Dense Unsupervised Video Segmentation

In-N-Out Generative Learning for Dense Unsupervised Video Segmentation

29 March 2022

Chang Zhou

Hongxia Yang

Jingren Zhou

Yi Yang

Papers citing "In-N-Out Generative Learning for Dense Unsupervised Video Segmentation"

6 / 6 papers shown

Title
JEN-1: Text-Guided Universal Music Generation with Omnidirectional Diffusion Models Peike Li Bo-Yu Chen Yao Yao Yikai Wang Allen Wang Alex Jinpeng Wang MGen VLM DiffM 60 37 0 09 Aug 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,434 0 11 Nov 2021
Modelling Neighbor Relation in Joint Space-Time Graph for Video Correspondence Learning Zixu Zhao Yueming Jin Pheng-Ann Heng SSL 37 21 0 28 Sep 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 317 5,775 0 29 Apr 2021
Collaborative Video Object Segmentation by Multi-Scale Foreground-Background Integration Zongxin Yang Yunchao Wei Yi Yang VOS 35 163 0 13 Oct 2020
TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild Matthias Muller Adel Bibi Silvio Giancola Salman Al-Subaihi Bernard Ghanem 223 789 0 28 Mar 2018