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Topology Optimization on heat conduction dataset

99.9IoUThresholding
94.59695.97397.3598.727Sep 27, 2017
Updated 5mo ago

Evaluation results

MethodLinks
ThresholdingIteration=802017.0999.9
ThresholdingIteration=602017.0999.6
CNN U[1, 100]Iteration=802017.0999.6
CNN P(5)Iteration=802017.0999.5
CNN P(10)Iteration=802017.0999.5
CNN P(30)Iteration=802017.0999.5
ThresholdingIteration=502017.0999.4
CNN P(10)Iteration=602017.0999.4
CNN P(30)Iteration=602017.0999.4
CNN U[1, 100]Iteration=602017.0999.4
CNN P(5)Iteration=602017.0999.3
CNN P(10)Iteration=502017.0999.3
CNN P(30)Iteration=502017.0999.3
CNN U[1, 100]Iteration=502017.0999.3
ThresholdingIteration=402017.0999.2
CNN P(5)Iteration=502017.0999.2
CNN P(30)Iteration=402017.0999.2
CNN U[1, 100]Iteration=402017.0999.2
CNN P(10)Iteration=402017.0999.1
CNN P(5)Iteration=402017.0999
CNN P(30)Iteration=302017.0999
CNN P(10)Iteration=302017.0998.9
CNN U[1, 100]Iteration=302017.0998.9
ThresholdingIteration=302017.0998.8
CNN P(5)Iteration=302017.0998.8
CNN P(30)Iteration=202017.0998.7
CNN U[1, 100]Iteration=202017.0998.6
CNN P(30)Iteration=152017.0998.5
CNN P(5)Iteration=202017.0998.4
CNN P(10)Iteration=202017.0998.4
CNN U[1, 100]Iteration=152017.0998.2
ThresholdingIteration=202017.0998.1
CNN P(10)Iteration=152017.0998.1
CNN P(5)Iteration=152017.0998
CNN P(30)Iteration=102017.0998
CNN U[1, 100]Iteration=102017.0997.7
ThresholdingIteration=152017.0997.6
CNN P(10)Iteration=102017.0997.6
CNN P(5)Iteration=102017.0997.5
ThresholdingIteration=102017.0996.8
CNN P(10)Iteration=52017.0996.3
CNN P(5)Iteration=52017.0996.2
CNN U[1, 100]Iteration=52017.0995.7
ThresholdingIteration=52017.0995.1
CNN P(30)Iteration=52017.0994.8