Offical implementation of "Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection" we also add our config in https://github.com/zcablii/LSKNet and ...

Abstract: Pruning convolutional kernels is a crucial method for achieving model lightweighting. However, current APoZ (Average Percentage of Zeros) based pruning algorithms often overlook the ...

In this paper, we tackle the high computational overhead of transformers for lightweight image super-resolution. (SR). Motivated by the observations of self-attention's inter-layer repetition, we ...

Abstract: Optimizing convolution operations is critical for enhancing the performance of convolutional neural networks (CNNs). The Winograd convolution algorithm, renowned for its significant ...