Comments (1)
If the action token is "sit on", we add two 768-sized embeddings of "sit" and "on" to get a 768-sized embedding.
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Related Issues (20)
- TIN+PaStaNet*-Linear 的实验结果,需要TIN和PaSta的联合训练吗? HOT 9
- why use "cls_prob_P" instead of "cls_score_P" in testing? HOT 1
- language part用到的det_object_list是iCAN的序号还是HICO的序号
- language_hoi is not useful? HOT 3
- image-level中scale1和scale2是怎么来的 HOT 2
- language分支在train的过程中词向量会不会变 HOT 4
- 有没有可能做到零样本? HOT 5
- image level中的GT PaStaNet 中的part state GT是否用于训练了 HOT 2
- 针对少样本的类别或许可以用rule based来代替神经网络 HOT 1
- image-level上的pretrain model到底train的哪部分 HOT 7
- Is that possible to do instance level task using image level code? HOT 1
- Trainval_GT_10w.pkl只有3万多数据? HOT 1
- Temporal action Localization HOT 1
- Two parts of the same type have different pastas HOT 1
- What is the approximate speed of video real-time motion detection?
- toy.pkl
- No Generate_detection.py in Instance-HAKE HOT 1
- ckle
- HAKE2.0论文中AVA的基于GT human boxes的47.27mAP如何得到的? HOT 1
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