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Humans need not label more humans: Occlusion Copy & Paste for Occluded
  Human Instance Segmentation

Humans need not label more humans: Occlusion Copy & Paste for Occluded Human Instance Segmentation

7 October 2022
Evan Ling
De-Kai Huang
Minhoe Hur
ArXivPDFHTML

Papers citing "Humans need not label more humans: Occlusion Copy & Paste for Occluded Human Instance Segmentation"

4 / 4 papers shown
Title
ForAug: Recombining Foregrounds and Backgrounds to Improve Vision Transformer Training with Bias Mitigation
Tobias Christian Nauen
Brian B. Moser
Federico Raue
Stanislav Frolov
Andreas Dengel
ViT
55
0
0
12 Mar 2025
SocialGPT: Prompting LLMs for Social Relation Reasoning via Greedy
  Segment Optimization
SocialGPT: Prompting LLMs for Social Relation Reasoning via Greedy Segment Optimization
Wanhua Li
Zibin Meng
Jiawei Zhou
D. Wei
Chuang Gan
Hanspeter Pfister
LRM
VLM
27
5
0
28 Oct 2024
Improving 2D Human Pose Estimation in Rare Camera Views with Synthetic
  Data
Improving 2D Human Pose Estimation in Rare Camera Views with Synthetic Data
Miroslav Purkrábek
Jivrí Matas
17
2
0
13 Jul 2023
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
Yin Cui
A. Srinivas
Rui Qian
Tsung-Yi Lin
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
223
966
0
13 Dec 2020
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