Abstract: According to the problem of unsatisfied accuracy of image retrieval based on image feature and aggregation coding,a new image description algorithm RCroW based on multi-region cross-weighted aggregation deep convolution feature is proposed.Firstly,the target region is vaguely labeled because the target region has the characteristics of high activation response.The spatial weighted matrix is generated by combining the feature map and the mask map.Then,multi regional strategy is introduced to transform the spatial weighted matrix into multi-regional cross-weighted matrix.Finally,the image feature vector is generated by multi-region cross-weighted matrix aggregating deep convolution feature.Experiments were carried out on three datasets of Oxford5k,Paris6k and Holidays.And the experimental results show that the average accuracy of image retrieval based on image feature description algorithm RCroW is better than the other seven commonly used algorithms such as CroW,R-MAC,SPoC and so on.