Unassorted

• EsyMo: Scalable and Efficient Deep-Learning Inference on Asymmetric Mobile CPUs
• Elf: Accelerate High-resolution Mobile Deep Vision with Content-aware Parallel Offloading
• Flexible High-resolution Object Detection on Edge Devices with Tunable Latency
• CoDL: Efficient CPU-GPU Co-execution for Deep Learning Inference on Mobile Devices
• Melon: Breaking the Memory Wall for Resource-Efficient On-Device Machine Learning
• Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors
• Optical Flow Estimation using a Spatial Pyramid Network
• Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs