output
20072025
most citedDeep Subdomain Adaptation Network for Image Classification

1.2k citations

Showing 2021Show all

70 papers · 1 filter

cs.CL20217 cited

Domain Adaptation with Category Attention Network for Deep Sentiment Analysis

Dongbo Xi, Fuzhen Zhuang, Ganbin Zhou +3

Domain adaptation tasks such as cross-domain sentiment classification aim to utilize existing labeled data in the source domain and unlabeled or few labeled data in the target doma…

cs.CL202125 cited

Article Reranking by Memory-Enhanced Key Sentence Matching for Detecting Previously Fact-Checked Claims

Qiang Sheng, Juan Cao, Xueyao Zhang +2

False claims that have been previously fact-checked can still spread on social media. To mitigate their continual spread, detecting previously fact-checked claims is indispensable.…

cs.CV202161 cited

Improving the Transferability of Adversarial Examples with Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting

Junhua Zou, Zhisong Pan, Junyang Qiu +3

We introduce a three stage pipeline: resized-diverse-inputs (RDIM), diversity-ensemble (DEM) and region fitting, that work together to generate transferable adversarial examples. W…

cs.CV202113 cited

ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers

Husheng Han, Kaidi Xu, Xing Hu +6

Adversarial patch attacks that craft the pixels in a confined region of the input images show their powerful attack effectiveness in physical environments even with noises or defor…

cs.GR202113 cited

OctField: Hierarchical Implicit Functions for 3D Modeling

Jia-Heng Tang, Weikai Chen, Jie Yang +4

Recent advances in localized implicit functions have enabled neural implicit representation to be scalable to large scenes. However, the regular subdivision of 3D space employed by…

cs.CV2021

Topic Scene Graph Generation by Attention Distillation from Caption

W. Wang, R. Wang, X. Chen

If an image tells a story, the image caption is the briefest narrator. Generally, a scene graph prefers to be an omniscient generalist, while the image caption is more willing to b…