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Cannot See the Forest for the Trees: Aggregating Multiple Viewpoints to
  Better Classify Objects in Videos

Cannot See the Forest for the Trees: Aggregating Multiple Viewpoints to Better Classify Objects in Videos

5 June 2022
Sukjun Hwang
Miran Heo
Seoung Wug Oh
Seon Joo Kim
    VOT
ArXivPDFHTML

Papers citing "Cannot See the Forest for the Trees: Aggregating Multiple Viewpoints to Better Classify Objects in Videos"

6 / 6 papers shown
Title
VITA: Video Instance Segmentation via Object Token Association
VITA: Video Instance Segmentation via Object Token Association
Miran Heo
Sukjun Hwang
Seoung Wug Oh
Joon-Young Lee
Seon Joo Kim
VOS
21
88
0
09 Jun 2022
TrackFormer: Multi-Object Tracking with Transformers
TrackFormer: Multi-Object Tracking with Transformers
Tim Meinhardt
A. Kirillov
Laura Leal-Taixe
Christoph Feichtenhofer
VOT
218
742
0
07 Jan 2021
TransTrack: Multiple Object Tracking with Transformer
TransTrack: Multiple Object Tracking with Transformer
Pei Sun
Jinkun Cao
Yi-Xin Jiang
Rufeng Zhang
Enze Xie
Zehuan Yuan
Changhu Wang
Ping Luo
ViT
VOT
241
564
0
31 Dec 2020
Equalization Loss for Long-Tailed Object Recognition
Equalization Loss for Long-Tailed Object Recognition
Jingru Tan
Changbao Wang
Buyu Li
Quanquan Li
Wanli Ouyang
Changqing Yin
Junjie Yan
239
456
0
11 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
268
10,214
0
16 Nov 2016
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
282
39,170
0
01 Sep 2014
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