Supervised Video Summarization via Multiple Feature Sets with Parallel Attention

Benchmark Model Rank Results
supervised-video-summarization-on-tvsumMAVS [DBLP:conf/mm/FengLKZ18]#1F1-score (Canonical): 67.5
supervised-video-summarization-on-tvsumre-SEQ2SEQ [DBLP:conf/eccv/ZhangGS18]#3F1-score (Canonical): 63.9
supervised-video-summarization-on-tvsumMC-VSA [DBLP:journals/corr/abs-2006-01410]#4F1-score (Canonical): 63.7
supervised-video-summarization-on-tvsumMSVA#8F1-score (Canonical): 61.5Kendall's Tau: 0.190Spearman's Rho: 0.210
supervised-video-summarization-on-tvsumM-AVS [DBLP:journals/corr/abs-1708-09545]#9F1-score (Canonical): 61
supervised-video-summarization-on-tvsumVASNet [DBLP:conf/accv/FajtlSAMR18]#14F1-score (Canonical): 59.8
supervised-video-summarization-on-summeMSVA#5F1-score (Canonical): 53.4Kendall's Tau: 0.200Spearman's Rho: 0.230
supervised-video-summarization-on-summeMC-VSA [DBLP:journals/corr/abs-2006-01410]#6F1-score (Canonical): 51.6
supervised-video-summarization-on-summeVASNet [DBLP:conf/accv/FajtlSAMR18]#12F1-score (Canonical): 48Kendall's Tau: 0.160Spearman's Rho: 0.170
supervised-video-summarization-on-summere-SEQ2SEQ [DBLP:conf/eccv/ZhangGS18]#13F1-score (Canonical): 44.9
supervised-video-summarization-on-summeM-AVS [DBLP:journals/corr/abs-1708-09545]#14F1-score (Canonical): 44.4
supervised-video-summarization-on-summeMAVS [DBLP:conf/mm/FengLKZ18]#15F1-score (Canonical): 43.1