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DiverGen: Improving Instance Segmentation by Learning Wider Data
  Distribution with More Diverse Generative Data

DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data

16 May 2024
Chengxiang Fan
Muzhi Zhu
Hao Chen
Yang Liu
Weijia Wu
Huaqi Zhang
Chunhua Shen
    DiffM
ArXivPDFHTML

Papers citing "DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data"

5 / 5 papers shown
Title
Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding
Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding
Zilin Du
Haoxin Li
Jianfei Yu
Boyang Li
83
0
0
01 Dec 2024
AeroGen: Enhancing Remote Sensing Object Detection with Diffusion-Driven Data Generation
AeroGen: Enhancing Remote Sensing Object Detection with Diffusion-Driven Data Generation
Datao Tang
Xiangyong Cao
Xuan Wu
Jialin Li
Jing Yao
Xueru Bai
Deyu Meng
Yin Li
Deyu Meng
DiffM
64
5
0
23 Nov 2024
SelfReformer: Self-Refined Network with Transformer for Salient Object
  Detection
SelfReformer: Self-Refined Network with Transformer for Salient Object Detection
Y. Yun
Weisi Lin
ViT
47
28
0
23 May 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
Yin Cui
A. Srinivas
Rui Qian
Tsung-Yi Lin
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
217
835
0
13 Dec 2020
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
279
39,083
0
01 Sep 2014
1