PENDAMPINGAN PENERAPAN SERTIFIKASI HALAL PRODUK UMKM DALAM MENINGKATKAN DAYA SAING




Transformer-Based Model with Dynamic Attention Pyramid Head for Semantic Segmentation of VHR Remote Sensing Imagery

Convolutional neural networks have long dominated semantic segmentation of very-high-resolution (VHR) remote sensing (RS) images.However, restricted by the fixed receptive field of convolution operation, convolution-based models cannot directly obtain contextual information.Meanwhile, Swin Transformer possesses great potential in modeling long-rang

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