Integrating Large Pre-trained Models into Multimodal Named Entity Recognition with Evidential Fusion

29 June 2023

Papers citing "Integrating Large Pre-trained Models into Multimodal Named Entity Recognition with Evidential Fusion"

6 / 6 papers shown

Title
Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation Weide Liu Zhonghua Wu Yang Zhao Yuming Fang Chuan-Sheng Foo Jun Cheng Guosheng Lin VLM 23 4 0 24 Mar 2023
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP Andreas Fürst Elisabeth Rumetshofer Johannes Lehner Viet-Hung Tran Fei Tang ... David P. Kreil Michael K Kopp G. Klambauer Angela Bitto-Nemling Sepp Hochreiter VLM CLIP 176 101 0 21 Oct 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 293 2,875 0 11 Feb 2021
CRNet: Cross-Reference Networks for Few-Shot Segmentation Weide Liu Chi Zhang Guosheng Lin Fayao Liu SSeg 127 180 0 24 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 4,940 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 243 9,042 0 06 Jun 2015