ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2407.08151
  4. Cited By
Enrich the content of the image Using Context-Aware Copy Paste
v1v2 (latest)

Enrich the content of the image Using Context-Aware Copy Paste

11 July 2024
Qiushi Guo
    VLM
ArXiv (abs)PDFHTMLGithub

Papers citing "Enrich the content of the image Using Context-Aware Copy Paste"

22 / 22 papers shown
A Universal Railway Obstacle Detection System based on Semi-supervised
  Segmentation And Optical Flow
A Universal Railway Obstacle Detection System based on Semi-supervised Segmentation And Optical Flow
Qiushi Guo
236
4
0
27 Jun 2024
Segment Anything
Segment AnythingIEEE International Conference on Computer Vision (ICCV), 2023
A. Kirillov
Eric Mintun
Nikhila Ravi
Hanzi Mao
Chloe Rolland
...
Spencer Whitehead
Alexander C. Berg
Wan-Yen Lo
Piotr Dollár
Ross B. Girshick
MLLMVLM
1.1K
12,789
0
05 Apr 2023
X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using
  CLIP and StableDiffusion
X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using CLIP and StableDiffusionInternational Conference on Machine Learning (ICML), 2022
Hanqing Zhao
Dianmo Sheng
Jianmin Bao
Dongdong Chen
Dong Chen
...
Ce Liu
Wenbo Zhou
Qi Chu
Weiming Zhang
Neng H. Yu
VLMDiffM
285
66
0
07 Dec 2022
MaskCLIP: Masked Self-Distillation Advances Contrastive Language-Image
  Pretraining
MaskCLIP: Masked Self-Distillation Advances Contrastive Language-Image PretrainingComputer Vision and Pattern Recognition (CVPR), 2022
Xiaoyi Dong
Jianmin Bao
Yinglin Zheng
Ting Zhang
Dongdong Chen
...
Weiming Zhang
Lu Yuan
Dong Chen
Fang Wen
Nenghai Yu
CLIPVLM
382
253
0
25 Aug 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified
  Vision-Language Understanding and Generation
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and GenerationInternational Conference on Machine Learning (ICML), 2022
Junnan Li
Dongxu Li
Caiming Xiong
Guosheng Lin
MLLMBDLVLMCLIP
1.5K
6,390
0
28 Jan 2022
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language SupervisionInternational Conference on Machine Learning (ICML), 2021
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIPVLM
2.2K
46,392
0
26 Feb 2021
Simple Copy-Paste is a Strong Data Augmentation Method for Instance
  Segmentation
Simple Copy-Paste is a Strong Data Augmentation Method for Instance SegmentationComputer Vision and Pattern Recognition (CVPR), 2020
Golnaz Ghiasi
Huayu Chen
A. Srinivas
Rui Qian
Nayeon Lee
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
1.0K
1,112
0
13 Dec 2020
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised
  Learning
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Viktor Olsson
Wilhelm Tranheden
Juliano Pinto
Lennart Svensson
547
407
0
15 Jul 2020
Panoptic Feature Pyramid Networks
Panoptic Feature Pyramid Networks
Alexander Kirillov
Ross B. Girshick
Kaiming He
Piotr Dollár
ISegSSeg
624
1,477
0
08 Jan 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
3.1K
112,756
0
11 Oct 2018
Albumentations: fast and flexible image augmentations
Albumentations: fast and flexible image augmentations
A. Buslaev
Alex Parinov
Eugene Khvedchenya
V. Iglovikov
Alexandr A Kalinin
733
2,480
0
18 Sep 2018
Modeling Visual Context is Key to Augmenting Object Detection Datasets
Modeling Visual Context is Key to Augmenting Object Detection DatasetsEuropean Conference on Computer Vision (ECCV), 2018
Nikita Dvornik
Julien Mairal
Cordelia Schmid
411
272
0
19 Jul 2018
Pyramid Attention Network for Semantic Segmentation
Pyramid Attention Network for Semantic Segmentation
Hanchao Li
Pengfei Xiong
Jie An
Lingxue Wang
SSeg
443
988
0
25 May 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image
  Segmentation
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
1.2K
16,235
0
07 Feb 2018
CityPersons: A Diverse Dataset for Pedestrian Detection
CityPersons: A Diverse Dataset for Pedestrian DetectionComputer Vision and Pattern Recognition (CVPR), 2017
Shanshan Zhang
Rodrigo Benenson
Bernt Schiele
420
899
0
19 Feb 2017
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOSSSeg
1.5K
13,941
0
04 Dec 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based LocalizationInternational Journal of Computer Vision (IJCV), 2016
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
1.1K
26,025
0
07 Oct 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
1.3K
20,682
0
02 Jun 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
1.8K
13,316
0
06 Apr 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
3.9K
93,751
0
18 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic OptimizationInternational Conference on Learning Representations (ICLR), 2014
Diederik P. Kingma
Jimmy Ba
ODL
5.0K
164,701
0
22 Dec 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in ContextEuropean Conference on Computer Vision (ECCV), 2014
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
27.3K
51,723
0
01 May 2014
1
Page 1 of 1