search

wjun0830 / QD-DETR

Official pytorch repository for "QD-DETR : Query-Dependent Video Representation for Moment Retrieval and Highlight Detection" (CVPR 2023 Paper)
https://arxiv.org/abs/2303.13874
Other
207 stars 16 forks source link

What does parameter "use_tef" mean? #22

Closed EasonXiao-888 closed 1 year ago

EasonXiao-888 commented 1 year ago

Hello, Thanks for the great work.I would like to ask what this parameter"use_tef" represents. Why concat "tef" with "model_inputs["video_feat"] " if "use_tef" is set True. The code on line 97 of file "QD-DETR/qd_detr/start_end_dataset.py" shows below: if self.use_tef: tef_st = torch.arange(0, ctx_l, 1.0) / ctx_l tef_ed = tef_st + 1.0 / ctx_l tef = torch.stack([tef_st, tef_ed], dim=1) # (Lv, 2) if self.use_video: model_inputs["video_feat"] = torch.cat( [model_inputs["video_feat"], tef], dim=1) # (Lv, Dv+2) else: model_inputs["video_feat"] = tef best, Eason

wjun0830 commented 1 year ago

Hello. Thanks for your interest. You can find your answer here.

EasonXiao-888 commented 1 year ago

I got it. Thanks very much