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Found 4 papers, 1 papers with code
ESP-Zero: Unsupervised enhancement of zero-shot classification for Extremely Sparse Point cloud
To the point cloud encoders to fit the extremely sparse point clouds without re-running the pre-training procedure which could be time-consuming and expensive, in this work, we propose an unsupervised model adaptation approach to enhance the point cloud encoder for the extremely sparse point clouds.
Speech Emotion Recognition Via CNN-Transformer and Multidimensional Attention Mechanism
In this paper, to model local and global information at different levels of granularity in speech and capture temporal, spatial and channel dependencies in speech signals, we propose a Speech Emotion Recognition network based on CNN-Transformer and multi-dimensional attention mechanisms.
V2VSSC: A 3D Semantic Scene Completion Benchmark for Perception with Vehicle to Vehicle Communication
Extensive experiments demonstrate that by leveraging V2V communication, the SSC performance can be increased by 8. 3% on geometric metric IoU and 6. 0% mIOU.
Explore the difficulty of words and its influential attributes based on the Wordle game
Afterwards, we take advantage of lasso regression to predict the deviation of guessing times expectation and quadratic programming to obtain the correction of the original distribution. To predict the difficulty levels, we first use hierarchical clustering to classify the difficulty levels based on the expectation of guessing times.
