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Found 11 papers, 4 papers with code
基于强负采样的词嵌入优化算法(Word Embedding Optimization Based on Hard Negative Sampling)
word2vec是自然语言处理领域重要的词嵌入算法之一, 为了解决随机负采样作为优化目标可能出现的样本贡献消失问题, 提出了可以应用在CBOW和Skip-gram框架上的以余弦距离为度量的强负采样方法:HNS-CBOW和HNS-SG。将原随机负采样过程拆解为两个步骤, 首先, 计算随机负样本与目标词的余弦距离, 然后, 再使用距离较近的强负样本更新参数。以英文维基百科数据作为实验语料, 在公开的语义-语法数据集上对优化算法的效果进行了定量分析, 实验表明, 优化后的词嵌入质量显著优于原方法。同时, 与GloVe等公开发布的预训练词向量相比, 可以在更小的语料库上获得更高的准确性。
UNITER-Based Situated Coreference Resolution with Rich Multimodal Input
Our model ranks second in the official evaluation on the object coreference resolution task with an F1 score of 73. 3% after model ensembling.
Ego4D: Around the World in 3,000 Hours of Egocentric Video
We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite.
Stepwise Goal-Driven Networks for Trajectory Prediction
We propose to predict the future trajectories of observed agents (e. g., pedestrians or vehicles) by estimating and using their goals at multiple time scales.
Ranked #1 on
Trajectory Prediction
on ETH/UCY
A Flexible Rolling Regression Framework for Time-Varying SIRD models: Application to COVID-19
The present paper introduces a data-driven framework for describing the time-varying nature of an SIRD model in the context of COVID-19.
Forecasting Black Sigatoka Infection Risks with Latent Neural ODEs
Black Sigatoka disease severely decreases global banana production, and climate change aggravates the problem by altering fungal species distributions.
Deep Tiered Image Segmentation For Detecting Internal Ice Layers in Radar Imagery
Understanding the structure of Earth's polar ice sheets is important for modeling how global warming will impact polar ice and, in turn, the Earth's climate.
Qudits and high-dimensional quantum computing
Qudit is a multi-level computational unit alternative to the conventional 2-level qubit.
Quantum Physics
Unsupervised Traffic Accident Detection in First-Person Videos
Recognizing abnormal events such as traffic violations and accidents in natural driving scenes is essential for successful autonomous driving and advanced driver assistance systems.
Ranked #1 on
Traffic Accident Detection
on A3D
Joint Person Segmentation and Identification in Synchronized First- and Third-person Videos
In this paper, we wish to solve two specific problems: (1) given two or more synchronized third-person videos of a scene, produce a pixel-level segmentation of each visible person and identify corresponding people across different views (i. e., determine who in camera A corresponds with whom in camera B), and (2) given one or more synchronized third-person videos as well as a first-person video taken by a mobile or wearable camera, segment and identify the camera wearer in the third-person videos.
