1.3k citations · 1.7k across the 10 of their papers we have counts for
10 papers
TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities
Zhe Zhao, Yudong Li, Cheng Hou +23
Recently, the success of pre-training in text domain has been fully extended to vision, audio, and cross-modal scenarios. The proposed pre-training models of different modalities a…
M2HF: Multi-level Multi-modal Hybrid Fusion for Text-Video Retrieval
Shuo Liu, Weize Quan, Ming Zhou +5
Videos contain multi-modal content, and exploring multi-level cross-modal interactions with natural language queries can provide great prominence to text-video retrieval task (TVR)…
Maximize the Exploration of Congeneric Semantics for Weakly Supervised Semantic Segmentation
Ke Zhang, Sihong Chen, Qi Ju +3
With the increase in the number of image data and the lack of corresponding labels, weakly supervised learning has drawn a lot of attention recently in computer vision tasks, espec…
The Medical Segmentation Decathlon
Michela Antonelli, Annika Reinke, Spyridon Bakas +55
International challenges have become the de facto standard for comparative assessment of image analysis algorithms given a specific task. Segmentation is so far the most widely inv…
Adversarial Learning with Cost-Sensitive Classes
Haojing Shen, Sihong Chen, Ran Wang +1
It is necessary to improve the performance of some special classes or to particularly protect them from attacks in adversarial learning. This paper proposes a framework combining c…
A Study on the Uncertainty of Convolutional Layers in Deep Neural Networks
Haojing Shen, Sihong Chen, Ran Wang
This paper shows a Min-Max property existing in the connection weights of the convolutional layers in a neural network structure, i.e., the LeNet. Specifically, the Min-Max propert…
Incorporating Hidden Layer representation into Adversarial Attacks and Defences
Haojing Shen, Sihong Chen, Ran Wang +1
In this paper, we propose a defence strategy to improve adversarial robustness by incorporating hidden layer representation. The key of this defence strategy aims to compress or fi…
Semi-supervised Breast Lesion Detection in Ultrasound Video Based on Temporal Coherence
Sihong Chen, Weiping Yu, Kai Ma +4
Breast lesion detection in ultrasound video is critical for computer-aided diagnosis. However, detecting lesion in video is quite challenging due to the blurred lesion boundary, hi…
TAN: Temporal Affine Network for Real-Time Left Ventricle Anatomical Structure Analysis Based on 2D Ultrasound Videos
Sihong Chen, Kai Ma, Yefeng Zheng
With superiorities on low cost, portability, and free of radiation, echocardiogram is a widely used imaging modality for left ventricle (LV) function quantification. However, autom…
Med3D: Transfer Learning for 3D Medical Image Analysis
Sihong Chen, Kai Ma, Yefeng Zheng
The performance on deep learning is significantly affected by volume of training data. Models pre-trained from massive dataset such as ImageNet become a powerful weapon for speedin…