ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2104.12081
  4. Cited By
How Well Does Self-Supervised Pre-Training Perform with Streaming Data?

How Well Does Self-Supervised Pre-Training Perform with Streaming Data?

25 April 2021
Dapeng Hu
Shipeng Yan
Qizhengqiu Lu
Lanqing Hong
Hailin Hu
Yifan Zhang
Zhenguo Li
Xinchao Wang
Jiashi Feng
ArXivPDFHTML

Papers citing "How Well Does Self-Supervised Pre-Training Perform with Streaming Data?"

9 / 9 papers shown
Title
Memory Storyboard: Leveraging Temporal Segmentation for Streaming Self-Supervised Learning from Egocentric Videos
Memory Storyboard: Leveraging Temporal Segmentation for Streaming Self-Supervised Learning from Egocentric Videos
Yanlai Yang
Mengye Ren
177
0
0
21 Jan 2025
Continual Learning on a Diet: Learning from Sparsely Labeled Streams
  Under Constrained Computation
Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation
Wenxuan Zhang
Youssef Mohamed
Guohao Li
Philip H. S. Torr
Adel Bibi
Mohamed Elhoseiny
CLL
45
5
0
19 Apr 2024
Are Labels Needed for Incremental Instance Learning?
Are Labels Needed for Incremental Instance Learning?
Mert Kilickaya
Joaquin Vanschoren
CLL
SSL
37
1
0
26 Jan 2023
Boosting Cross-Domain Speech Recognition with Self-Supervision
Boosting Cross-Domain Speech Recognition with Self-Supervision
Hanjing Zhu
Gaofeng Cheng
Jindong Wang
Wenxin Hou
Pengyuan Zhang
Yonghong Yan
19
13
0
20 Jun 2022
General Incremental Learning with Domain-aware Categorical
  Representations
General Incremental Learning with Domain-aware Categorical Representations
Jiangwei Xie
Shipeng Yan
Xuming He
OOD
CLL
16
38
0
08 Apr 2022
ImageNet-21K Pretraining for the Masses
ImageNet-21K Pretraining for the Masses
T. Ridnik
Emanuel Ben-Baruch
Asaf Noy
Lihi Zelnik-Manor
SSeg
VLM
CLIP
181
687
0
22 Apr 2021
Unleashing the Power of Contrastive Self-Supervised Visual Models via
  Contrast-Regularized Fine-Tuning
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning
Yifan Zhang
Bryan Hooi
Dapeng Hu
Jian Liang
Jiashi Feng
76
64
0
12 Feb 2021
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
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
287
2,890
0
15 Sep 2016
1