https://value-benchmark.github.io/
If you wish to show your results on our leaderboard, please follow the below template to email us at value-benchmark@googlegroups.com.
{
"date": "06/07/2021",
"codaLab username": "",
"model": "HERO (AT->ST, PT+FT)",
"institution": "VALUE baseline",
"paper_link": "",
"code_link": "",
"tvr": 13.56,
"how2r": 3.95,
"yc2r": 54.28,
"vatex_en_r":
49.09,
"tvqa": 74.83,
"how2qa": 74.60,
"violin": 67.18,
"vlep": 69.37,
"tvc": 48.13,
"yc2c": 121.89,
"vatex_en_c": 56.54,
"value_leaderboard": true,
"retrieval_leaderboard": true,
"qa_leaderboard": true,
"caption_leaderboard": true,
"is_ensemble": false
}- All scores are obtained from CodaLab evaluation, make sure your codaLab username is correct.
- For retrieval tasks, please report AveR. For captioning tasks, please report CiDER scores.
- For any missing scores, set as
null. value_leaderboard,retrieval_leaderboard,qa_leaderboard,caption_leaderboardare set to betrue, if you wish to show your results on each of the corresponding leaderboards.institutioncan be anonymous.paper_linkandcode_linkare optinal.is_emsembleit is mendatory to share whether your results are from an ensemble model. If yes, sharing best single model results is highly encouraged.