[CVPR 2025] CoDe: Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient
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Updated
Mar 31, 2025 - Python
[CVPR 2025] CoDe: Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient
[NeurIPS'24] Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy
[NeurIPS 2025] ScaleKV: Memory-Efficient Visual Autoregressive Modeling with Scale-Aware KV Cache Compression
(NeurIPS-2019 MicroNet Challenge - 3rd Winner) Open source code for "SIPA: A simple framework for efficient networks"
Bayesian Optimization-Based Global Optimal Rank Selection for Compression of Convolutional Neural Networks, IEEE Access
Vision-lanugage model example code.
This sample shows how to convert TensorFlow model to OpenVINO IR model and how to quantize OpenVINO model.
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