Title
From CLIP to DINO: Visual Encoders Shout in Multi-modal Large Language Models Dongsheng Jiang Yuchen Liu Songlin Liu Jiné Zhao Hao Zhang Zhen Gao Xiaopeng Zhang Jin Li Hongkai Xiong MLLM VLM 43 35 0 13 Oct 2023
Virchow: A Million-Slide Digital Pathology Foundation Model Eugene Vorontsov Alican Bozkurt Adam Casson George Shaikovski Michal Zelechowski ... Razik Yousfi Christopher Kanan David Klimstra B. Rothrock Thomas J. Fuchs MedIm 28 83 0 14 Sep 2023
CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images Nicolás Gaggion Candelaria Mosquera Lucas Mansilla Julia Mariel Saidman M. Aineseder Diego H. Milone Enzo Ferrante 27 19 0 06 Jul 2023
What Do Self-Supervised Vision Transformers Learn? Namuk Park Wonjae Kim Byeongho Heo Taekyung Kim Sangdoo Yun SSL 126 76 1 01 May 2023
VICRegL: Self-Supervised Learning of Local Visual Features Adrien Bardes Jean Ponce Yann LeCun SSL 51 121 0 04 Oct 2022
Contrastive Masked Autoencoders are Stronger Vision Learners Zhicheng Huang Xiaojie Jin Cheng Lu Qibin Hou Mingg-Ming Cheng Dongmei Fu Xiaohui Shen Jiashi Feng 73 150 0 27 Jul 2022
Flamingo: a Visual Language Model for Few-Shot Learning Jean-Baptiste Alayrac Jeff Donahue Pauline Luc Antoine Miech Iain Barr ... Mikolaj Binkowski Ricardo Barreira Oriol Vinyals Andrew Zisserman Karen Simonyan MLLM VLM 266 3,458 0 29 Apr 2022
On the Importance of Asymmetry for Siamese Representation Learning Tianlin Li Haoqi Fan Yuandong Tian Daisuke Kihara Xinlei Chen SSL 59 51 0 01 Apr 2022
SLIP: Self-supervision meets Language-Image Pre-training Norman Mu Alexander Kirillov David Wagner Saining Xie VLM CLIP 88 485 0 23 Dec 2021
FLAVA: A Foundational Language And Vision Alignment Model Amanpreet Singh Ronghang Hu Vedanuj Goswami Guillaume Couairon Wojciech Galuba Marcus Rohrbach Douwe Kiela CLIP VLM 56 695 0 08 Dec 2021
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis Yucheng Tang Dong Yang Wenqi Li H. Roth Bennett Landman Daguang Xu V. Nath Ali Hatamizadeh ViT MedIm 83 524 0 29 Nov 2021
iBOT: Image BERT Pre-Training with Online Tokenizer Jinghao Zhou Chen Wei Huiyu Wang Wei Shen Cihang Xie Alan Yuille Tao Kong 57 722 0 15 Nov 2021
FILIP: Fine-grained Interactive Language-Image Pre-Training Lewei Yao Runhu Huang Lu Hou Guansong Lu Minzhe Niu Hang Xu Xiaodan Liang Zhenguo Li Xin Jiang Chunjing Xu VLM CLIP 57 627 0 09 Nov 2021
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision Zirui Wang Jiahui Yu Adams Wei Yu Zihang Dai Yulia Tsvetkov Yuan Cao VLM MLLM 93 789 0 24 Aug 2021
BEiT: BERT Pre-Training of Image Transformers Hangbo Bao Li Dong Songhao Piao Furu Wei ViT 146 2,785 0 15 Jun 2021
Big Self-Supervised Models Advance Medical Image Classification Shekoofeh Azizi Basil Mustafa Fiona Ryan Zach Beaver Jan Freyberg ... Alan Karthikesalingam Simon Kornblith Ting-Li Chen Vivek Natarajan Mohammad Norouzi SSL 79 511 0 13 Jan 2021
Exploring Simple Siamese Representation Learning Xinlei Chen Kaiming He SSL 167 3,992 0 20 Nov 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 249 6,718 0 13 Jun 2020
CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT Akshay Smit Saahil Jain Pranav Rajpurkar Anuj Pareek A. Ng M. Lungren MedIm 27 329 0 20 Apr 2020
Exploring large scale public medical image datasets Luke Oakden-Rayner 39 173 0 30 Jul 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison Jeremy Irvin Pranav Rajpurkar M. Ko Yifan Yu Silviana Ciurea-Ilcus ... D. Larson C. Langlotz Bhavik Patel M. Lungren A. Ng 72 2,568 0 21 Jan 2019