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Found 21 papers, 4 papers with code
Tencent submission for WMT20 Quality Estimation Shared Task
This paper presents Tencent’s submission to the WMT20 Quality Estimation (QE) Shared Task: Sentence-Level Post-editing Effort for English-Chinese in Task 2.
An Interpretable Power System Transient Stability Assessment Method with Expert Guiding Neural-Regression-Tree
TSA-ENRT utilizes an expert guiding nonlinear regression tree to approximate the neural network prediction and the neural network can be explained by the interpretive rules generated by the tree model.
DanceCamera3D: 3D Camera Movement Synthesis with Music and Dance
However, camera movement synthesis with music and dance remains an unsolved challenging problem due to the scarcity of paired data.
RS-DGC: Exploring Neighborhood Statistics for Dynamic Gradient Compression on Remote Sensing Image Interpretation
The key component of RS-DGC is a Neighborhood Statistical Indicator (NSI), which can quantify the importance of gradients within a specified neighborhood on each node to sparsify the local gradients before gradient transmission in each iteration.
FedDiff: Diffusion Model Driven Federated Learning for Multi-Modal and Multi-Clients
With the rapid development of imaging sensor technology in the field of remote sensing, multi-modal remote sensing data fusion has emerged as a crucial research direction for land cover classification tasks.
Recent Advances in Multi-modal 3D Scene Understanding: A Comprehensive Survey and Evaluation
Multi-modal 3D scene understanding has gained considerable attention due to its wide applications in many areas, such as autonomous driving and human-computer interaction.
Weighted Joint Maximum Mean Discrepancy Enabled Multi-Source-Multi-Target Unsupervised Domain Adaptation Fault Diagnosis
Despite the remarkable results that can be achieved by data-driven intelligent fault diagnosis techniques, they presuppose the same distribution of training and test data as well as sufficient labeled data.
FedEdge AI-TC: A Semi-supervised Traffic Classification Method based on Trusted Federated Deep Learning for Mobile Edge Computing
The framework enhances user privacy and model credibility, offering a comprehensive solution for dependable and transparent Network TC in 5G CPE, thus enhancing service quality and security.
Hard Sample Mining Enabled Supervised Contrastive Feature Learning for Wind Turbine Pitch System Fault Diagnosis
The proposed method employs cosine similarity to identify hard samples and subsequently, leverages supervised contrastive learning to learn more discriminative representations by constructing hard sample pairs.
LA3: Efficient Label-Aware AutoAugment
Automated augmentation is an emerging and effective technique to search for data augmentation policies to improve generalizability of deep neural network training.
Understanding Edge-of-Stability Training Dynamics with a Minimalist Example
Globally we observe that the training dynamics for our example has an interesting bifurcating behavior, which was also observed in the training of neural nets.
Analyzing Sharpness along GD Trajectory: Progressive Sharpening and Edge of Stability
Based on this empirical observation, we attempt to theoretically and empirically explain the dynamics of various key quantities that lead to the change of sharpness in each phase of EOS.
Explicit and implicit models in infrared and visible image fusion
Infrared and visible images, as multi-modal image pairs, show significant differences in the expression of the same scene.
Residual-guided Personalized Speech Synthesis based on Face Image
Experimental results show that the speech synthesized by our model is comparable to the personalized speech synthesized by training a large amount of audio data in previous works.
Exploiting full Resolution Feature Context for Liver Tumor and Vessel Segmentation via Integrate Framework: Application to Liver Tumor and Vessel 3D Reconstruction under embedded microprocessor
Segmentation and labeling of liver tumors and blood vessels in CT images can provide convenience for doctors in liver tumor diagnosis and surgical intervention.
Verdi: Quality Estimation and Error Detection for Bilingual Corpora
Verdi adopts two word predictors to enable diverse features to be extracted from a pair of sentences for subsequent quality estimation, including a transformer-based neural machine translation (NMT) model and a pre-trained cross-lingual language model (XLM).
Convergence of Gradient Algorithms for Nonconvex C^{1+alpha} Cost Functions
This paper is concerned with convergence of stochastic gradient algorithms with momentum terms in the nonconvex setting.
Learning Better Features for Face Detection with Feature Fusion and Segmentation Supervision
We assume that problems inside are inadequate use of supervision information and imbalance between semantics and details at all level feature maps in CNN even with Feature Pyramid Networks (FPN).
Intelligent Health Recommendation System for Computer Users
The time people spend in front of computers has been increasing steadily due to the role computers play in modern society.
Geometric VLAD for Large Scale Image Search
We present a novel compact image descriptor for large scale image search.
Who and Where: People and Location Co-Clustering
In this paper, we consider the clustering problem on images where each image contains patches in people and location domains.
