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TubeFormer-DeepLab: Video Mask Transformer

TubeFormer-DeepLab: Video Mask Transformer

30 May 2022
Dahun Kim
Jun Xie
Huiyu Wang
Siyuan Qiao
Qihang Yu
Hong-Seok Kim
Hartwig Adam
In So Kweon
Liang-Chieh Chen
    ViT
    MedIm
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Papers citing "TubeFormer-DeepLab: Video Mask Transformer"

13 / 13 papers shown
Title
Enhancing Temporal Consistency in Video Editing by Reconstructing Videos with 3D Gaussian Splatting
Enhancing Temporal Consistency in Video Editing by Reconstructing Videos with 3D Gaussian Splatting
Inkyu Shin
Qihang Yu
Xiaohui Shen
In So Kweon
KuK-Jin Yoon
Liang-Chieh Chen
VGen
DiffM
71
1
0
04 Jun 2024
UniVS: Unified and Universal Video Segmentation with Prompts as Queries
UniVS: Unified and Universal Video Segmentation with Prompts as Queries
Ming-hui Li
Shuai Li
Xindong Zhang
Lei Zhang
VOS
47
16
0
28 Feb 2024
Temporal-aware Hierarchical Mask Classification for Video Semantic
  Segmentation
Temporal-aware Hierarchical Mask Classification for Video Semantic Segmentation
Zhaochong An
Guolei Sun
Zongwei Wu
Hao Tang
Luc Van Gool
VOS
32
4
0
14 Sep 2023
Towards Deeply Unified Depth-aware Panoptic Segmentation with
  Bi-directional Guidance Learning
Towards Deeply Unified Depth-aware Panoptic Segmentation with Bi-directional Guidance Learning
Ju He
Yifan Wang
Lijun Wang
Huchuan Lu
Jun-Yan He
Jinpeng Lan
Bin Luo
Yifeng Geng
Xuansong Xie
MDE
23
8
0
27 Jul 2023
SVT: Supertoken Video Transformer for Efficient Video Understanding
SVT: Supertoken Video Transformer for Efficient Video Understanding
Chen-Ming Pan
Rui Hou
Hanchao Yu
Qifan Wang
Senem Velipasalar
Madian Khabsa
ViT
26
0
0
01 Apr 2023
Offline-to-Online Knowledge Distillation for Video Instance Segmentation
Offline-to-Online Knowledge Distillation for Video Instance Segmentation
H. Kim
Seunghun Lee
Sunghoon Im
OffRL
36
3
0
15 Feb 2023
A Generalist Framework for Panoptic Segmentation of Images and Videos
A Generalist Framework for Panoptic Segmentation of Images and Videos
Ting-Li Chen
Lala Li
Saurabh Saxena
Geoffrey E. Hinton
David J. Fleet
VGen
MLLM
43
102
0
12 Oct 2022
MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision
  Models
MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models
Chenglin Yang
Siyuan Qiao
Qihang Yu
Xiaoding Yuan
Yukun Zhu
Alan Yuille
Hartwig Adam
Liang-Chieh Chen
ViT
MoE
39
58
0
04 Oct 2022
CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation
CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation
Qihang Yu
Huiyu Wang
Dahun Kim
Siyuan Qiao
Maxwell D. Collins
Yukun Zhu
Hartwig Adam
Alan Yuille
Liang-Chieh Chen
ViT
MedIm
32
90
0
17 Jun 2022
Simple Copy-Paste is a Strong Data Augmentation Method for Instance
  Segmentation
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi
Huayu Chen
A. Srinivas
Rui Qian
Nayeon Lee
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
252
969
0
13 Dec 2020
STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos
STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos
A. Athar
Sabarinath Mahadevan
Aljosa Osep
Laura Leal-Taixé
Bastian Leibe
VOS
77
170
0
18 Mar 2020
Conditional Convolutions for Instance Segmentation
Conditional Convolutions for Instance Segmentation
Zhi Tian
Chunhua Shen
Hao Chen
ISeg
182
597
0
12 Mar 2020
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,220
0
16 Nov 2016
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