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Object-Aware Cropping for Self-Supervised Learning

Object-Aware Cropping for Self-Supervised Learning

1 December 2021
Shlok Kumar Mishra
Anshul B. Shah
Ankan Bansal
Abhyuday N. Jagannatha
Janit Anjaria
Abhishek Sharma
David Jacobs
Dilip Krishnan
    SSL
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Papers citing "Object-Aware Cropping for Self-Supervised Learning"

14 / 14 papers shown
Title
Taming the Randomness: Towards Label-Preserving Cropping in Contrastive Learning
Taming the Randomness: Towards Label-Preserving Cropping in Contrastive Learning
Mohamed Hassan
Mohammad Wasil
Sebastian Houben
44
0
0
28 Apr 2025
Understanding Hyperbolic Metric Learning through Hard Negative Sampling
Understanding Hyperbolic Metric Learning through Hard Negative Sampling
Yun Yue
Fangzhou Lin
Guanyi Mou
Ziming Zhang
SSL
30
1
0
23 Apr 2024
The Bad Batches: Enhancing Self-Supervised Learning in Image
  Classification Through Representative Batch Curation
The Bad Batches: Enhancing Self-Supervised Learning in Image Classification Through Representative Batch Curation
Ozgu Goksu
Nicolas Pugeault
SSL
34
0
0
28 Mar 2024
LeOCLR: Leveraging Original Images for Contrastive Learning of Visual Representations
LeOCLR: Leveraging Original Images for Contrastive Learning of Visual Representations
Mohammad Alkhalefi
Georgios Leontidis
Mingjun Zhong
63
2
0
11 Mar 2024
Learning Visual Representations via Language-Guided Sampling
Learning Visual Representations via Language-Guided Sampling
Mohamed El Banani
Karan Desai
Justin Johnson
SSL
VLM
19
28
0
23 Feb 2023
Saliency Guided Contrastive Learning on Scene Images
Saliency Guided Contrastive Learning on Scene Images
Meilin Chen
Yizhou Wang
Shixiang Tang
Feng Zhu
Haiyang Yang
Lei Bai
Rui Zhao
Donglian Qi
Wanli Ouyang
SSL
24
1
0
22 Feb 2023
Focusing On Targets For Improving Weakly Supervised Visual Grounding
Focusing On Targets For Improving Weakly Supervised Visual Grounding
V. Pham
Nao Mishima
ObjD
23
1
0
22 Feb 2023
Understanding Self-Supervised Pretraining with Part-Aware Representation
  Learning
Understanding Self-Supervised Pretraining with Part-Aware Representation Learning
Jie Zhu
Jiyang Qi
Mingyu Ding
Xiaokang Chen
Ping Luo
Xinggang Wang
Wenyu Liu
Leye Wang
Jingdong Wang
SSL
33
8
0
27 Jan 2023
Learning Self-Regularized Adversarial Views for Self-Supervised Vision
  Transformers
Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers
Tao Tang
Changlin Li
Guangrun Wang
Kaicheng Yu
Xiaojun Chang
Xiaodan Liang
ViT
28
1
0
16 Oct 2022
Object discovery and representation networks
Object discovery and representation networks
Olivier J. Hénaff
Skanda Koppula
Evan Shelhamer
Daniel Zoran
Andrew Jaegle
Andrew Zisserman
João Carreira
Relja Arandjelović
44
87
0
16 Mar 2022
Instance Localization for Self-supervised Detection Pretraining
Instance Localization for Self-supervised Detection Pretraining
Ceyuan Yang
Zhirong Wu
Bolei Zhou
Stephen Lin
ViT
SSL
100
145
0
16 Feb 2021
BYOL works even without batch statistics
BYOL works even without batch statistics
Pierre Harvey Richemond
Jean-Bastien Grill
Florent Altché
Corentin Tallec
Florian Strub
...
Samuel L. Smith
Soham De
Razvan Pascanu
Bilal Piot
Michal Valko
SSL
250
114
0
20 Oct 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,375
0
09 Mar 2020
Boosting Self-Supervised Learning via Knowledge Transfer
Boosting Self-Supervised Learning via Knowledge Transfer
M. Noroozi
Ananth Vinjimoor
Paolo Favaro
Hamed Pirsiavash
SSL
209
292
0
01 May 2018
1