Enhancing Representations through Heterogeneous Self-Supervised Learning

Enhancing Representations through Heterogeneous Self-Supervised Learning

8 October 2023

Ming-Ming Cheng

Papers citing "Enhancing Representations through Heterogeneous Self-Supervised Learning"

8 / 8 papers shown

Title
DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation Bo Yin Xuying Zhang Zhongyu Li Li Liu Ming-Ming Cheng Qibin Hou 24 39 0 18 Sep 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
Decoupled Contrastive Learning Chun-Hsiao Yeh Cheng-Yao Hong Yen-Chi Hsu Tyng-Luh Liu Yubei Chen Yann LeCun 163 181 0 13 Oct 2021
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer Sachin Mehta Mohammad Rastegari ViT 181 1,148 0 05 Oct 2021
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations Debidatta Dwibedi Y. Aytar Jonathan Tompson P. Sermanet Andrew Zisserman SSL 183 382 0 29 Apr 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 283 5,723 0 29 Apr 2021
Understanding self-supervised Learning Dynamics without Contrastive Pairs Yuandong Tian Xinlei Chen Surya Ganguli SSL 130 258 0 12 Feb 2021
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