Efficiently training accurate deep models for weakly supervised semantic segmentation (WSSS) with image-level labels is challenging and important. Recently, end-to-end WSSS methods have become the focus of research due to their high efficiency. However, current suffer from insufficient extraction comprehensive information, resulting in low-quality pseudo-labels sub-optimal solutions WSSS. To th...

Lo~v noisc prealnplifiers are requircd for the dcrcctio~\ of the magnclic rcson;nicc of s~ii:~ll size samplcs o r a l low tnagnetic fields. According to calculat~ons based on the "ell. ill " modcl. SQUID b;tscd nnlplifiers arc more suitable to NMR experiments on sn~all samplcs lhan sciniconductor amplifiers. We propose an amplification method by frequency transposition using a DC SQUID. Such a ...