Results

[namiyousef]

Number of epochs used: Batch_size used: Model architecture:

• Encoder: Resnet34 pre-trained=False
• Decoders: -- Class: -- Segmen: -- BB:

Losses

Train

Configuration	BB (L1Loss)	Class (BCELoss)	Segmen (DiceLoss)	Total
Baseline
Baseline + Class
Baseline + BB
Baseline + BB + Class
Seg + bb (0.75, 0.25)	22.136	-	0.125
Seg + bb (0.25, 0.75)	20.152	-	0.122
seg + bb + class (0.5, 0.25, 0.25)	0.3001	1.0348	0.1527
seg + bb + class (0.25, 0.5, 0.25)	0.2744	1.1820	0.1582
seg + bb + class (0.25, 0.25, 0.5)	0.3564	0.77764	0.1979
seg + bb (uniform)
seg + bb (const. bern.)

Test

Configuration	BB (L1Loss)	Class (BCELoss)	Segmen (DiceLoss)	Total
Baseline	-	-	0.137
Baseline + Class	-	1.278	0.182
Baseline + BB	21.254	-	0.126
Baseline + BB + Class	0.2892	1.4871	0.1698

Metrics

Train

Configuration	Class (Accuracy)
Baseline + Class
Baseline + BB + Class

Test

Configuration	Class (Accuracy)
Baseline + Class
Baseline + BB + Class

[namiyousef]

Results old, closing issue.