Video Annotation on LSMDC 2016 (challenge)
0.109CIDEr-DSupervised Tessellation
Evaluation Results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| Supervised Tessellationmode=supervised, method=LSTM prediction2016.12 | 0.109 | 0.008 | 0.151 | 0.044 | 0.017 | 0.057 | 0.135 | |
| Unsupervised Tessellationmode=unsupervised, method=Restricted Viterbi2016.12 | 0.102 | 0.007 | 0.146 | 0.043 | 0.016 | 0.055 | 0.137 | |
| Local Tessellationscope=local2016.12 | 0.098 | 0.007 | 0.144 | 0.042 | 0.016 | 0.056 | 0.13 | |
| S2VT2016.12 | 0.088 | 0.007 | 0.162 | 0.051 | 0.017 | 0.07 | 0.157 | |
| Yu et al2016.12 | 0.082 | 0.007 | 0.157 | 0.049 | 0.017 | 0.07 | 0.149 | |
| BUPT CIST AI labchallenge_entry=online challenge board2016.12 | 0.072 | 0.005 | 0.151 | 0.047 | 0.013 | 0.075 | 0.152 | |
| Shetty and Laaksonen2016.12 | 0.044 | 0.003 | 0.119 | 0.024 | 0.007 | 0.046 | 0.108 | |
| IIT Kanpurchallenge_entry=online challenge board2016.12 | 0.042 | 0.004 | 0.116 | 0.003 | 0.011 | 0.07 | 0.138 | |
| Appearance Matchingdescription=Baseline method using zero-temporal coherence2016.12 | 0.042 | 0.003 | 0.118 | 0.026 | 0.008 | 0.046 | 0.11 | |
| Aalto Universitychallenge_entry=online challenge board2016.12 | 0.037 | 0.002 | 0.007 | 0.001 | 0.005 | 0.033 | 0.069 |