Comments (4)
LegendBC
commented on May 31, 2024
Hi @StillWaterRUN , thanks for your interest in YOLOS.
We haven't tried VOC2007, so can you provide more details about your training? (model size, how many epochs you run, from scratch or finetune)
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MingXiangL
commented on May 31, 2024
I think the small amount of data of VOC2007 should be responsible for the performance.
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Yuxin-CV
commented on May 31, 2024
We believe we have answered your question, and as such I'm closing this issue, but let us know if you have further questions.
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hyunOO
commented on May 31, 2024
Hello @StillWaterRUN , could you share the configurations of the experiments (e.g, the architecture you used, which checkpoint you started to train, types of augmentations, # of detection tokens ... ) you conducted on VOC 2007?
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Related Issues (20)
- [URGENT] Eval results are much lower than what's reported HOT 2
- Visualization demo? HOT 3
- Input size can not be dynamic? HOT 6
- Implmenetation queries HOT 1
- Train with custom dataset HOT 3
- How can i get the ImageNet pretrained model?
- Control the patches
- AMP Support? HOT 2
- About Learning Rate Scheduler HOT 2
- The definitions of sigmoid_focal_loss and dice_loss not found in model/detector.py
- Error of the size mismatch for pos_embed HOT 1
- Where're the pre-trained models?
- Where are the pre-trained models? HOT 1
- Adding YOLOS to HuggingFace Transformers HOT 6
- Hi，what is the magnitude of model parameters ?
- Train problem with VOC
- CUDA Out of Memory Errors w Batch Size of 1 on 16GB V100 HOT 4
- ONNX Export
- Small learning rate value HOT 2
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