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Found 5 papers, 1 papers with code
Causal Evaluation of Language Models
Recent advances in language models have expanded the horizons of artificial intelligence across various domains, sparking inquiries into their potential for causal reasoning.
Robust Two-Stream Multi-Feature Network for Driver Drowsiness Detection
The drowsiness detection system is trained and evaluated on the famous Nation Tsing Hua University Driver Drowsiness Detection (NTHU-DDD) dataset and we obtain an accuracy of 94. 46%, which outperforms most existing fatigue detection models.
Towards Adaptive Semantic Segmentation by Progressive Feature Refinement
As one of the fundamental tasks in computer vision, semantic segmentation plays an important role in real world applications.
Learning-Based Massive Beamforming
Conventional optimization-based iterative resource allocation algorithms often suffer from slow convergence, especially for massive multiple-input-multiple-output (MIMO) beamforming problems.
Spatial Sparse subspace clustering for Compressive Spectral imaging
This paper aims at developing a clustering approach with spectral images directly from CASSI compressive measurements.
