Comments (6)
HaleYan
commented on July 19, 2024
我把actionClip放在finegym数据集上，train的时候为什么top1和top5都是个位数
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TitaniumOne
commented on July 19, 2024
我把actionClip放在自己的数据集上，test acc一直再跳啊 跳的幅度还很大20多个点的跳
你好，请问后续解决了吗？我也遇到类似的问题
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TitaniumOne
commented on July 19, 2024
我把actionClip放在finegym数据集上，train的时候为什么top1和top5都是个位数
加载k400的预训练模型后好一些，但是识别效果一般，不如TSM
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rouge012
commented on July 19, 2024
我把actionClip放在finegym数据集上，train的时候为什么top1和top5都是个位数
加载k400的预训练模型后好一些，但是识别效果一般，不如TSM
请问为什么加了多模态后，识别效果还会不如TSM呢？
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sallymmx
commented on July 19, 2024
您好，我是王蒙蒙，您的邮件我已收到，并及时回复。
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yinkangning0124
commented on July 19, 2024
请问有人解决了这个自己数据集上test acc很低的问题嘛
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Related Issues (20)
- UCF101的微调 HOT 2
- The details about multi-label video classification (Charades)
- The checkpoints of HMDB51 & UCF101 are not found
- 关于小样本设置下的结果 HOT 4
- 转onnx HOT 1
- The links of pretrained models are expired. HOT 4
- about pretrained weights (on K400)
- Looking for help to try ActionCLIP for custom videos HOT 3
- 关于zero-shot测试和few-shot测试的设置问题 HOT 3
- About the pretrained model
- 请问能提供预处理后的数据集下载链接吗，非常感谢
- About input data- video file, prompts
- No train/validation/test list for HMDB51 or Kinetics? HOT 2
- Pretrained models from baidu?
- 您好，想知道zero-shot实验中ucf_zero_shot.yaml中label_list的csv文件中存放的哪些信息，还有val_list的txt文件存放的哪些信息
- environment.yml HOT 1
- visualized results
- 4.5. Comparison with State-of-the-art Methods The results in the appendix
- random seed HOT 1
- where is T
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