Sungguk Cha

During my preparation experience, I suffered `FileNotFoundError` several times. > FileNotFoundError: [Errno 2] No such file or directory: 'datasets/mix_mot20_ch/annotations/train.json' This update creates the corresponding directories.

Environment re-implementation

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Hello there. First of all, I appreciate your great works and academic contribution to the community. This pull request updates - envirnoment version matching. It solves a contradicting cudatoolkit version...

Can I try downloading LAION400M with multiple PC?

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Hello @rom1504. First of all, I sincerely thanks for your great contribution to the community. My question is `Can I try downloading LAION400M with multiple PC?` It is due to...

Add two visual instruction generation methods (with visual instruction datasets) and a visual hallucination benchmark.

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Thanks to your efforts. Updated two papers. - Visually Dehallucinative Instruction Generation: Know What You Don't Know, https://arxiv.org/abs/2402.09717 It proposes (1) I know visual hallucination, (2) I know hallucination benchmark...

Hello @zyh-uaiaaaa, thanks for sharing your work. Can you provide AffectNet performance? Regards, Sungguk Cha

Before, Xing, thanks to your work. Current version generates 0th dataset well, but not the rests. 1. https://github.com/DeepTrial/pascal-5/blob/d46bb749a681a4eb69a55a244b2322fe89d94b45/config.py#L13 the 13th and 14th line should be config.pascal5_classlist=config.class_list[config.current_index*5:config.current_index * 5+5] config.pascal5_colormap=config.color_map[config.current_index*5:config.current_index *...

PASCAL VOC 2012 dataset

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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 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...