fix docs

docs/SFRS.md

@@ -3,5 +3,5 @@
 NetVLAD first proposed a VLAD layer trained with `triplet` loss, and then SARE introduced two softmax-based losses (`sare_ind` and `sare_joint`) to boost the training. Our SFRS is trained in generations with self-enhanced soft-label losses to achieve state-of-the-art performance.
 
 <p align="center">
- <img src="figs/sfrs_fm.png" width="60%">
+ <img src="../figs/sfrs_fm.png" width="60%">
 </p>