Picture for Kaiming He

Kaiming He

A Decade's Battle on Dataset Bias: Are We There Yet?

Add code
Mar 13, 2024
Zhuang Liu, Kaiming He

Figure 1 for A Decade's Battle on Dataset Bias: Are We There Yet?
Figure 2 for A Decade's Battle on Dataset Bias: Are We There Yet?
Figure 3 for A Decade's Battle on Dataset Bias: Are We There Yet?
Figure 4 for A Decade's Battle on Dataset Bias: Are We There Yet?
Viaarxiv icon

Deconstructing Denoising Diffusion Models for Self-Supervised Learning

Add code
Jan 25, 2024
Xinlei Chen, Zhuang Liu, Saining Xie, Kaiming He

Viaarxiv icon

Self-conditioned Image Generation via Generating Representations

Add code
Dec 08, 2023
Tianhong Li, Dina Katabi, Kaiming He

Viaarxiv icon

Scaling Language-Image Pre-training via Masking

Add code
Dec 01, 2022
Yanghao Li, Haoqi Fan, Ronghang Hu, Christoph Feichtenhofer, Kaiming He

Figure 1 for Scaling Language-Image Pre-training via Masking
Figure 2 for Scaling Language-Image Pre-training via Masking
Figure 3 for Scaling Language-Image Pre-training via Masking
Figure 4 for Scaling Language-Image Pre-training via Masking
Viaarxiv icon

Masked Autoencoders As Spatiotemporal Learners

Add code
May 18, 2022
Christoph Feichtenhofer, Haoqi Fan, Yanghao Li, Kaiming He

Figure 1 for Masked Autoencoders As Spatiotemporal Learners
Figure 2 for Masked Autoencoders As Spatiotemporal Learners
Figure 3 for Masked Autoencoders As Spatiotemporal Learners
Figure 4 for Masked Autoencoders As Spatiotemporal Learners
Viaarxiv icon

Exploring Plain Vision Transformer Backbones for Object Detection

Add code
Mar 30, 2022
Yanghao Li, Hanzi Mao, Ross Girshick, Kaiming He

Figure 1 for Exploring Plain Vision Transformer Backbones for Object Detection
Figure 2 for Exploring Plain Vision Transformer Backbones for Object Detection
Figure 3 for Exploring Plain Vision Transformer Backbones for Object Detection
Figure 4 for Exploring Plain Vision Transformer Backbones for Object Detection
Viaarxiv icon

Masked Autoencoders Are Scalable Vision Learners

Add code
Dec 02, 2021
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, Ross Girshick

Figure 1 for Masked Autoencoders Are Scalable Vision Learners
Figure 2 for Masked Autoencoders Are Scalable Vision Learners
Figure 3 for Masked Autoencoders Are Scalable Vision Learners
Figure 4 for Masked Autoencoders Are Scalable Vision Learners
Viaarxiv icon

Benchmarking Detection Transfer Learning with Vision Transformers

Add code
Nov 22, 2021
Yanghao Li, Saining Xie, Xinlei Chen, Piotr Dollar, Kaiming He, Ross Girshick

Figure 1 for Benchmarking Detection Transfer Learning with Vision Transformers
Figure 2 for Benchmarking Detection Transfer Learning with Vision Transformers
Figure 3 for Benchmarking Detection Transfer Learning with Vision Transformers
Figure 4 for Benchmarking Detection Transfer Learning with Vision Transformers
Viaarxiv icon

An Empirical Study of Training Self-Supervised Vision Transformers

Add code
May 05, 2021
Xinlei Chen, Saining Xie, Kaiming He

Figure 1 for An Empirical Study of Training Self-Supervised Vision Transformers
Figure 2 for An Empirical Study of Training Self-Supervised Vision Transformers
Figure 3 for An Empirical Study of Training Self-Supervised Vision Transformers
Figure 4 for An Empirical Study of Training Self-Supervised Vision Transformers
Viaarxiv icon

A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning

Add code
Apr 29, 2021
Christoph Feichtenhofer, Haoqi Fan, Bo Xiong, Ross Girshick, Kaiming He

Figure 1 for A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning
Figure 2 for A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning
Figure 3 for A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning
Figure 4 for A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning
Viaarxiv icon