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Found 6 papers, 0 papers with code
MUSTAN: Multi-scale Temporal Context as Attention for Robust Video Foreground Segmentation
In this paper, we utilize the temporal information and the spatial cues from the video data to improve OOD performance.
AQUALLM: Audio Question Answering Data Generation Using Large Language Models
The significance of possessing high-quality, diverse, and extensive AQA datasets cannot be overstated when aiming for the precision of an AQA system.
Learning Generative Prior with Latent Space Sparsity Constraints
We also consider the effect of the dimension of the latent space and the sparsity factor in validating the SDLSS framework.
Quantized Proximal Averaging Network for Analysis Sparse Coding
We also consider quantization of the network weights.
NuSPAN: A Proximal Average Network for Nonuniform Sparse Model -- Application to Seismic Reflectivity Inversion
We solve the problem of sparse signal deconvolution in the context of seismic reflectivity inversion, which pertains to high-resolution recovery of the subsurface reflection coefficients.
DuRIN: A Deep-unfolded Sparse Seismic Reflectivity Inversion Network
The network is referred to as deep-unfolded reflectivity inversion network (DuRIN).
