Comments (2)
- You can set the confidence score of each answer to 1.
- In the original vqav2 dataset, each sample contains multiple answers. We followed the previous works to set the confidence score for each answer based on its frequency.
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Related Issues (20)
- Image Classification Fine-tuning and Evaluation on Custom Dataset HOT 1
- An error when train the prompt tuning model
- Where is the script to preprocess the own dataset HOT 1
- max_tgt_length is not used in data/mm_data/vqa_gen_dataset.py HOT 1
- How to use Finetuned checkpoint for Caption on COCO HOT 1
- import issue with metrics! HOT 1
- file 'ocr_scene_test.tsv' missing
- OFA caption models on Hugging Face
- OFA-CN Fine-tuning Scripts
- low accuracy on VQAv2 test-std when reproducing prompt tuning experiments HOT 1
- Does it support defect detection ?
- Question regarding the role of max_image_size in image quantization HOT 2
- "IndexError: list index out of range" on multiple GPU HOT 2
- Can 4 A6000 GPUs support pretraining?
- visual grounding task
- How to perform multi frame detection for visual grounding tasks?
- Inquiry Regarding the Acquisition and Processing Details of text2phone_dict.txt
- How to generate a paragraph instead of one single sentence through image caption model?
- TransformerDecoderLayer.py
- Pi Tuning
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