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IFSeg: Image-free Semantic Segmentation via Vision-Language Model (CVPR 2023)

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Hi, coco_fine.sh: data=${data_dir}/fineseg_refined_val2017.tsv,${data_dir}/fineseg_refined_val2017.tsv coco_unseen.sh: data=${data_dir}/unseen_val2017.tsv,${data_dir}/unseen_val2017.tsv Could you leave me input on why the two valid dataset TSV files were specified in the data variable? Thanks, --Ruida

First of all, thank you for conducting such great research. Could you give me an example of how to learn and evaluate a new dataset? Thank you for reading!

Thanks for your excellent work. I have downloaded '2017train images', '2017val images', and '2017Stuff Train/val annotations' from the website, and I revised the data path in the python file. But...

Hi, I allocate 64g REM with 4 A100 GPUs #SBATCH --time=72:00:00 #SBATCH --mem=64g #SBATCH --job-name="ifseg" #SBATCH --partition=gpu #SBATCH --gres=gpu:a100:4 #SBATCH --cpus-per-task=4 #SBATCH --mail-type=BEGIN,END,ALL sh run_scripts/IFSeg/coco_unseen.sh Here is the distributed training...

Hi, thanks for your amazing work. Are there plans to release a HF demo?