re-SEQ2SEQ [DBLP:conf/eccv/ZhangGS18]

Reported on 4 benchmarks across 2 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision4 results

VideoonTvSum
F1-score (Canonical)· 2021-04-23
63.9
best: 67.5 (MAVS [DBLP:conf/mm/FengLKZ18])
Supervised Video Summarization via Multiple Feature Sets with Parallel Attention arXiv:2104.11530
VideoonSumMe
F1-score (Canonical)· 2021-04-23
44.9
best: 57.1 (PGL-SUM (maximum learning capacity))
Supervised Video Summarization via Multiple Feature Sets with Parallel Attention arXiv:2104.11530
Video SummarizationonTvSum
F1-score (Canonical)· 2021-04-23
63.9
best: 67.5 (MAVS [DBLP:conf/mm/FengLKZ18])
Supervised Video Summarization via Multiple Feature Sets with Parallel Attention arXiv:2104.11530
Video SummarizationonSumMe
F1-score (Canonical)· 2021-04-23
44.9
best: 57.1 (PGL-SUM (maximum learning capacity))
Supervised Video Summarization via Multiple Feature Sets with Parallel Attention arXiv:2104.11530