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Found 5 papers, 1 papers with code
Holistic Capability Preservation: Towards Compact Yet Comprehensive Reasoning Models
This technical report presents Ring-Lite-Distill, a lightweight reasoning model derived from our open-source Mixture-of-Experts (MoE) Large Language Models (LLMs) Ling-Lite.
DAGait: Generalized Skeleton-Guided Data Alignment for Gait Recognition
Gait recognition is emerging as a promising and innovative area within the field of computer vision, widely applied to remote person identification.
MFSR: Multi-fractal Feature for Super-resolution Reconstruction with Fine Details Recovery
MFSR employs convolution as a soft assignment to approximate the fractal features of low-resolution images.
Transfer Learning in General Lensless Imaging through Scattering Media
In summary, this work provides a new solution for lensless imaging through scattering media using transfer learning in DNNs.
GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework
Through this way, we build a unified framework that subsumes the binary or ternary networks as its special cases, and under which a heuristic algorithm is provided at the website https://github. com/AcrossV/Gated-XNOR.
