1 Introduction In Natural Language Processing(NLP),topic modeling is a class of methods used to analyze and explore textual corpora,i.e.,to discover the underlying topic structures from text and assign text pieces to ...
Thetransformer-based semantic segmentation approaches,which divide the image into different regions by sliding windows and model the relation inside each window,have achieved outstanding success.However,since the rela...
supported by the National Natural Science Foundation of China(Grant Nos.62192733 and 62192730).
1 Introduction Program retrieval aims to enable the flexible retrieval of program snippets based on a natural language query,significantly accelerating software development productivity.Study shows that over 60%of dev...
supported in part by the National Natural Science Foundation of China (Grant No.62276141).
1 Introduction Co-salient object detection(CoSOD)aims to extract the salient object(s)that are common across a group of relevant images[1].Group-wise clue plays a crucial role in accurately predicting the co-salient r...
supported in part by the National Natural Science Foundation of China(Grant Nos.61872189,41975183,61825601);in part by the Natural Science Foundation of Jiangsu Province(BK20191397).
Deep neural networks have achieved great success in varieties of artificial intelligent fields. Since training a good deep model is often challenging and costly, such deep models are of great value and even the key co...
supported in part by National Natural Science Foundation of China (Grant No.62076246).
1 Introduction Referring image segmentation aims to identify and segment the instance by language description.It is a challenge task due to the combination of both language and visual domains[1].The current mainstream...
1 Introduction Relation extraction refers to extracting the semantic relation between entities from unstructured text data to form triple data(entity e_(1),entity e_(2),relation r)that is easy to for computer processi...
supported by the Special Funds for Innovation of Graduate Students Double Top University Plan in China University of Mining and Technology(No.2018ZZCX14)。
1Introduction Due to the powerful feature extraction ability of convolutional neural network[1],deep model-based semantic segmentation of remote sensing images have received more and more atention.,The large-scale dee...
This work was supported in part by the National Key R&D Program of China(2019QY1604);the Major Project for New Generation of AI(2018AAA0100400);the National Youth Talent Support Program,and the National Natural Science Foundation of China(Grant Nos.U21B2042,62006231,and 62072457).
Domain adaptation(DA)for semantic segmentation aims to reduce the annotation burden for the dense pixellevel prediction task.It focuses on tackling the domain gap problem and manages to transfer knowledge learned from...
This work was supported by the National Natural Science Foundation of China(Grant Nos.U1836110 and U1836208);by the Jiangsu Basic Research Programs-Natural Science Foundation under grant numbers BK20200039.
Searchable encryption provides an effective way for data security and privacy in cloud storage.Users can retrieve encrypted data in the cloud under the premise of protecting their own data security and privacy.However...