VEIL: Vetting Extracted Image Labels from In-the-Wild Captions for Weakly-Supervised Object Detection

16 March 2023

Papers citing "VEIL: Vetting Extracted Image Labels from In-the-Wild Captions for Weakly-Supervised Object Detection"

6 / 6 papers shown

Title
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation Xiuye Gu Tsung-Yi Lin Weicheng Kuo Yin Cui VLM ObjD 225 898 0 28 Apr 2021
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts Soravit Changpinyo P. Sharma Nan Ding Radu Soricut VLM 275 1,081 0 17 Feb 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia Yinfei Yang Ye Xia Yi-Ting Chen Zarana Parekh Hieu H. Pham Quoc V. Le Yun-hsuan Sung Zhen Li Tom Duerig VLM CLIP 298 3,693 0 11 Feb 2021
VinVL: Revisiting Visual Representations in Vision-Language Models Pengchuan Zhang Xiujun Li Xiaowei Hu Jianwei Yang Lei Zhang Lijuan Wang Yejin Choi Jianfeng Gao ObjD VLM 260 157 0 02 Jan 2021
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 310 497 0 05 Mar 2020
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,743 0 26 Sep 2016