Learning to see from experience,but which experience is more propaedeutic?RB: Is the title still ok?
Table 10: Mean nearest neighbor overlap.
['Task', 'K=10 VF', 'K=10 LF', 'K=1 VF', 'K=1 LF']
In general scrambles text Encoder and Original text Encoder is similar. Comparatively, Fully is different. Scrambles image is comparatively different. Random being farthest. This is interesting result, which suggest that model is paying more attention to the visual information. When LSTM is trained, model generally ignores visual information. I think this is happening because model has same visual and text parameters and it is trying to give similar attention.