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Found 3 papers, 1 papers with code
YFlows: Systematic Dataflow Exploration and Code Generation for Efficient Neural Network Inference using SIMD Architectures on CPUs
Our results demonstrate that the dataflow that keeps outputs in SIMD registers while also maximizing both input and weight reuse consistently yields the best performance for a wide variety of inference workloads, achieving up to 3x speedup for 8-bit neural networks, and up to 4. 8x speedup for binary neural networks, respectively, over the optimized implementations of neural networks today.
ColoristaNet for Photorealistic Video Style Transfer
The style removal network removes the original image styles, and the style restoration network recovers image styles in a supervised manner.
ComCLIP: Training-Free Compositional Image and Text Matching
Contrastive Language-Image Pretraining (CLIP) has demonstrated great zero-shot performance for matching images and text.
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