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Revisiting Learning-based Video Motion Magnification for Real-time Processing
Video motion magnification is a technique to capture and amplify subtle motion in a video that is invisible to the naked eye.
MST-compression: Compressing and Accelerating Binary Neural Networks with Minimum Spanning Tree
Binary neural networks (BNNs) have been widely adopted to reduce the computational cost and memory storage on edge-computing devices by using one-bit representation for activations and weights.
Tr-NAS: Memory-Efficient Neural Architecture Search with Transferred Blocks
To remedy this problem, we propose a new paradigm for NAS that effectively reduces the use of memory while maintaining high performance.
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