ReLA
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[CVPR2023 Highlight] GRES: Generalized Referring Expression Segmentation
Hello, I am very interested in your work, but I encountered some problems when reproducing it. Could you provide the training log of the model using Resnet50 as img-encoder?
by only modifying DATASETS.TRAIN and DATASETS.TEST [referring_swin_base.yaml](https://github.com/henghuiding/ReLA/blob/main/configs/referring_swin_base.yaml)
I trained using four A100 GUP and the total batch size is 36. After a total of 300,000 times of training, this is the result of the model:  which...
Hi, I have a question related to RLA module. ` lang_feat_att = self.lang_proj(lang_feat_att) lang_feat_att = self.RLA_lang_att(output, lang_feat_att.permute(1,0,2)) * F.sigmoid(self.lang_weight) output = output + lang_feat_att * self.rla_weight ` It seems that...
 According to this paragraph, region-based queries are supervised by mini-map down-sampled from the ground truth. If I understand correctly, all the queries then have the same...
Hello,thanks for your contribution.The train dataset setting in config yaml file is grefcoco_unc_train,and the article says grefcoco inherit some single expressions from refcoco.I notice that the code about dataset create...
Thank you for your excellent work! I’ve been working on reproducing the results of ReLA on the GRefCOCO validation set (SwinB version) and came across a discrepancy regarding the learning...