8 citations · 18 across the 7 of their papers we have counts for
5 papers · 1 filter
Self Correspondence Distillation for End-to-End Weakly-Supervised Semantic Segmentation
Rongtao Xu, Changwei Wang, Jiaxi Sun +3
Efficiently training accurate deep models for weakly supervised semantic segmentation (WSSS) with image-level labels is challenging and important. Recently, end-to-end WSSS methods…
MTLDesc: Looking Wider to Describe Better
Changwei Wang, Rongtao Xu, Yuyang Zhang +4
Limited by the locality of convolutional neural networks, most existing local features description methods only learn local descriptors with local information and lack awareness of…
Deep Deformation Detail Synthesis for Thin Shell Models
Lan Chen, Lin Gao, Jie Yang +4
In physics-based cloth animation, rich folds and detailed wrinkles are achieved at the cost of expensive computational resources and huge labor tuning. Data-driven techniques make…
Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients
Chengcheng Ma, Baoyuan Wu, Shibiao Xu +4
Adversarial examples have been well known as a serious threat to deep neural networks (DNNs). In this work, we study the detection of adversarial examples, based on the assumption…
GSLAM: A General SLAM Framework and Benchmark
Yong Zhao, Shibiao Xu, Shuhui Bu +2
SLAM technology has recently seen many successes and attracted the attention of high-technological companies. However, how to unify the interface of existing or emerging algorithms…