Hello, Have you reproduced the results of this paper? I have also encountered similar difficulties. Here is my best outcome:
{"CLOSED": {"count": 185.0, "real": 180.0, "true": 132.0, "real_percent": 0.0, "score": 0.7135135135136, "score_percent": 71.4}, "OPEN": {"count": 123.0, "real": 90.0, "true": 42.0, "real_percent": 0.0, "score": 0.3414634146341463437, "score_percent": 34.1}, "ALL: {" count ": 308.0," real ": 270.0," true ": 174.0," real_percent ": 0.0," score ": 0.564935064935065," score_percent ": 56.5}}
How did you change the pre trained resnet to improve accuracy?
Hello, Have you reproduced the results of this paper? I have also encountered similar difficulties. Here is my best outcome: {"CLOSED": {"count": 185.0, "real": 180.0, "true": 132.0, "real_percent": 0.0, "score": 0.7135135135136, "score_percent": 71.4}, "OPEN": {"count": 123.0, "real": 90.0, "true": 42.0, "real_percent": 0.0, "score": 0.3414634146341463437, "score_percent": 34.1}, "ALL: {" count ": 308.0," real ": 270.0," true ": 174.0," real_percent ": 0.0," score ": 0.564935064935065," score_percent ": 56.5}} How did you change the pre trained resnet to improve accuracy?