SPNet
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subhc
Semantic Projection Network for Zero- and Few-Label Semantic Segmentation (CVPR 2019)
Your paper and 'splits.ipynb' describe PASCAL VOC 2012 train set has 11685 images, while your currently distributing code includes 10582 images for training (check your data/datasets/voc12/split/train_list.npy). I think 10582 is...
I have trouble in setting up the experimental environment on the public server, so I use a stronger baseline that can reach mIoU 59.8 after fine-tuning on novel classes with...
I have a question about the implementation of the experiment. You used predefined word embedding as a classifier, then what did you assigned embedding for background? In other words, there...
Thank you for sharing the useful code. @subhc , as you discussed in article you consider all images during training, but pixels which relate to unseen classes will be ignored...
