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.gitattributes

@@ -26,6 +26,7 @@
 saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.tar.* filter=lfs diff=lfs merge=lfs -text
 *.tar filter=lfs diff=lfs merge=lfs -text
+*.part-* filter=lfs diff=lfs merge=lfs -text
 *.tflite filter=lfs diff=lfs merge=lfs -text
 *.tgz filter=lfs diff=lfs merge=lfs -text
 *.wasm filter=lfs diff=lfs merge=lfs -text

checkpoints/rpb_dev_mixed_pm_only_a018_wm005.pth

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checkpoints/rpb_dev_pm_only_a018.pth

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checkpoints/rpb_probe_eval_directional_pm_only_a02.pth

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data/audio_embed.tar.gz

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data/image_embed.tar.part-00

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log/rpb_dev_eval_baseline_step0.txt

@@ -0,0 +1,5 @@
+Epoch 0: running_loss 0.004542401526123285  Learning Rate:0.000000
+valuate on test_s_refer:  miou 0.7255374467872275  true fscore 0.8181094569922425 
+valuate on test_u_refer:  miou 0.68531153425507  true fscore 0.7723772643739357 
+
+ valuate on  test_n_refer:   metric 0.014519116841256618 

log/rpb_dev_eval_pm_only_a02_step0.txt

@@ -0,0 +1,7 @@
+Epoch 0: running_loss 0.013856410048902035  Learning Rate:0.000000
+valuate on test_s_refer:  miou 0.7251653336426284  true fscore 0.8137564373598434 
+bridge on test_s_refer: cos_delta_p_mask_mean=0.752373 | cos_delta_q_mean=-0.063845 | cos_delta_z_gt_mean=0.066832 | cos_p_hat_p_mask_mean=0.095022 | cos_p_hat_q_mean=0.991696 | cos_p_hat_z_gt_mean=0.058512 | cos_p_mask_z_gt_mean=0.064319 | delta_norm_mean=4.838175 | gate_mean=0.642605 | gate_std=0.066554 | p_hat_norm_mean=37.143986 | p_mask_norm_mean=0.855194 | q_norm_mean=37.143986 | z_gt_norm_mean=1.270137
+valuate on test_u_refer:  miou 0.6859597001315854  true fscore 0.7773032036889345 
+bridge on test_u_refer: cos_delta_p_mask_mean=0.752107 | cos_delta_q_mean=-0.052752 | cos_delta_z_gt_mean=0.059016 | cos_p_hat_p_mask_mean=0.066111 | cos_p_hat_q_mean=0.994380 | cos_p_hat_z_gt_mean=0.056506 | cos_p_mask_z_gt_mean=0.056127 | delta_norm_mean=3.232154 | gate_mean=0.529798 | gate_std=0.041540 | p_hat_norm_mean=30.350392 | p_mask_norm_mean=0.854621 | q_norm_mean=30.350392 | z_gt_norm_mean=1.131404
+
+ valuate on  test_n_refer:   metric 0.014255181886255741 

log/rpb_dev_mixed_pm_only_a015_wm005.txt

@@ -0,0 +1,11 @@
+Epoch 0: running_loss 0.12634180719032884  Learning Rate:0.000048
+Epoch 1: running_loss 0.06299160566413775  Learning Rate:0.000038
+Epoch 2: running_loss 0.04188278445508331  Learning Rate:0.000021
+Epoch 3: running_loss 0.03136271081166342  Learning Rate:0.000006
+Epoch 4: running_loss 0.025073944311589002  Learning Rate:0.000000
+valuate on test_s_refer:  miou 0.7268448945908449  true fscore 0.8160740848700516 
+bridge on test_s_refer: cos_delta_p_mask_mean=0.780949 | cos_delta_q_mean=-0.022341 | cos_delta_z_gt_mean=0.080238 | cos_p_hat_p_mask_mean=0.033820 | cos_p_hat_q_mean=0.998889 | cos_p_hat_z_gt_mean=0.053521 | cos_p_mask_z_gt_mean=0.064319 | delta_norm_mean=1.741799 | gate_mean=0.298187 | gate_std=0.074034 | p_hat_norm_mean=37.144979 | p_mask_norm_mean=0.855194 | q_norm_mean=37.144979 | z_gt_norm_mean=1.270137
+valuate on test_u_refer:  miou 0.6867437321859904  true fscore 0.774193259445019 
+bridge on test_u_refer: cos_delta_p_mask_mean=0.787519 | cos_delta_q_mean=-0.014046 | cos_delta_z_gt_mean=0.070144 | cos_p_hat_p_mask_mean=0.008821 | cos_p_hat_q_mean=0.999587 | cos_p_hat_z_gt_mean=0.052258 | cos_p_mask_z_gt_mean=0.056127 | delta_norm_mean=0.869715 | gate_mean=0.187340 | gate_std=0.030662 | p_hat_norm_mean=30.349741 | p_mask_norm_mean=0.854621 | q_norm_mean=30.349741 | z_gt_norm_mean=1.131404
+
+ valuate on  test_n_refer:   metric 0.014510215260088444 

log/rpb_dev_mixed_pm_only_a018_wm005.txt

@@ -0,0 +1,11 @@
+Epoch 0: running_loss 0.12581317650619894  Learning Rate:0.000048
+Epoch 1: running_loss 0.0626903815427795  Learning Rate:0.000038
+Epoch 2: running_loss 0.04165894452792903  Learning Rate:0.000021
+Epoch 3: running_loss 0.031184122432023287  Learning Rate:0.000006
+Epoch 4: running_loss 0.024928097636438905  Learning Rate:0.000000
+valuate on test_s_refer:  miou 0.727035479994347  true fscore 0.8155373766715638 
+bridge on test_s_refer: cos_delta_p_mask_mean=0.779142 | cos_delta_q_mean=-0.026866 | cos_delta_z_gt_mean=0.080963 | cos_p_hat_p_mask_mean=0.040792 | cos_p_hat_q_mean=0.998394 | cos_p_hat_z_gt_mean=0.054268 | cos_p_mask_z_gt_mean=0.064319 | delta_norm_mean=2.094408 | gate_mean=0.298949 | gate_std=0.074175 | p_hat_norm_mean=37.145271 | p_mask_norm_mean=0.855194 | q_norm_mean=37.145271 | z_gt_norm_mean=1.270137
+valuate on test_u_refer:  miou 0.6870561258980442  true fscore 0.774542552176863 
+bridge on test_u_refer: cos_delta_p_mask_mean=0.786014 | cos_delta_q_mean=-0.016895 | cos_delta_z_gt_mean=0.071182 | cos_p_hat_p_mask_mean=0.013252 | cos_p_hat_q_mean=0.999403 | cos_p_hat_z_gt_mean=0.052698 | cos_p_mask_z_gt_mean=0.056127 | delta_norm_mean=1.046129 | gate_mean=0.187813 | gate_std=0.030748 | p_hat_norm_mean=30.349577 | p_mask_norm_mean=0.854621 | q_norm_mean=30.349577 | z_gt_norm_mean=1.131404
+
+ valuate on  test_n_refer:   metric 0.014507208950817585 

log/rpb_dev_pm_only_a012.txt

@@ -0,0 +1,11 @@
+Epoch 0: running_loss 0.1251933453604579  Learning Rate:0.000291
+Epoch 1: running_loss 0.06243458506651223  Learning Rate:0.000225
+Epoch 2: running_loss 0.04142383218277246  Learning Rate:0.000124
+Epoch 3: running_loss 0.030912025278666988  Learning Rate:0.000035
+Epoch 4: running_loss 0.024670254811644553  Learning Rate:0.000000
+valuate on test_s_refer:  miou 0.7265147582390341  true fscore 0.8174789174459874 
+bridge on test_s_refer: cos_delta_p_mask_mean=0.785657 | cos_delta_q_mean=-0.012593 | cos_delta_z_gt_mean=0.074588 | cos_p_hat_p_mask_mean=0.018714 | cos_p_hat_q_mean=0.999648 | cos_p_hat_z_gt_mean=0.051832 | cos_p_mask_z_gt_mean=0.064319 | delta_norm_mean=0.980784 | gate_mean=0.209955 | gate_std=0.050712 | p_hat_norm_mean=37.145389 | p_mask_norm_mean=0.855194 | q_norm_mean=37.145389 | z_gt_norm_mean=1.270137
+valuate on test_u_refer:  miou 0.685781483513075  true fscore 0.7731429794151335 
+bridge on test_u_refer: cos_delta_p_mask_mean=0.790605 | cos_delta_q_mean=-0.008125 | cos_delta_z_gt_mean=0.065258 | cos_p_hat_p_mask_mean=-0.000455 | cos_p_hat_q_mean=0.999863 | cos_p_hat_z_gt_mean=0.051334 | cos_p_mask_z_gt_mean=0.056127 | delta_norm_mean=0.502185 | gate_mean=0.135438 | gate_std=0.020096 | p_hat_norm_mean=30.347839 | p_mask_norm_mean=0.854621 | q_norm_mean=30.347839 | z_gt_norm_mean=1.131404
+
+ valuate on  test_n_refer:   metric 0.014490844681859016 

log/rpb_dev_pm_only_a015.txt

@@ -0,0 +1,11 @@
+Epoch 0: running_loss 0.12516111659351736  Learning Rate:0.000291
+Epoch 1: running_loss 0.06237624154891819  Learning Rate:0.000225
+Epoch 2: running_loss 0.04133288407077392  Learning Rate:0.000124
+Epoch 3: running_loss 0.03080323277390562  Learning Rate:0.000035
+Epoch 4: running_loss 0.024568469962105155  Learning Rate:0.000000
+valuate on test_s_refer:  miou 0.7266912544447951  true fscore 0.8172510598856024 
+bridge on test_s_refer: cos_delta_p_mask_mean=0.784637 | cos_delta_q_mean=-0.015801 | cos_delta_z_gt_mean=0.074893 | cos_p_hat_p_mask_mean=0.023727 | cos_p_hat_q_mean=0.999446 | cos_p_hat_z_gt_mean=0.052317 | cos_p_mask_z_gt_mean=0.064319 | delta_norm_mean=1.230677 | gate_mean=0.210794 | gate_std=0.050954 | p_hat_norm_mean=37.144974 | p_mask_norm_mean=0.855194 | q_norm_mean=37.144974 | z_gt_norm_mean=1.270137
+valuate on test_u_refer:  miou 0.6856936469832761  true fscore 0.7733012911863625 
+bridge on test_u_refer: cos_delta_p_mask_mean=0.789761 | cos_delta_q_mean=-0.010194 | cos_delta_z_gt_mean=0.065751 | cos_p_hat_p_mask_mean=0.002815 | cos_p_hat_q_mean=0.999784 | cos_p_hat_z_gt_mean=0.051617 | cos_p_mask_z_gt_mean=0.056127 | delta_norm_mean=0.630081 | gate_mean=0.135950 | gate_std=0.020168 | p_hat_norm_mean=30.349286 | p_mask_norm_mean=0.854621 | q_norm_mean=30.349286 | z_gt_norm_mean=1.131404
+
+ valuate on  test_n_refer:   metric 0.014483190141618252 

log/rpb_dev_pm_only_a018.txt

@@ -0,0 +1,11 @@
+Epoch 0: running_loss 0.12512886058539152  Learning Rate:0.000291
+Epoch 1: running_loss 0.062317848962266  Learning Rate:0.000225
+Epoch 2: running_loss 0.04124188135998944  Learning Rate:0.000124
+Epoch 3: running_loss 0.03069439489627257  Learning Rate:0.000035
+Epoch 4: running_loss 0.024466648511588574  Learning Rate:0.000000
+valuate on test_s_refer:  miou 0.7269170961743339  true fscore 0.817047117385082 
+bridge on test_s_refer: cos_delta_p_mask_mean=0.783528 | cos_delta_q_mean=-0.019011 | cos_delta_z_gt_mean=0.075155 | cos_p_hat_p_mask_mean=0.028732 | cos_p_hat_q_mean=0.999199 | cos_p_hat_z_gt_mean=0.052798 | cos_p_mask_z_gt_mean=0.064319 | delta_norm_mean=1.480661 | gate_mean=0.211391 | gate_std=0.051102 | p_hat_norm_mean=37.145608 | p_mask_norm_mean=0.855194 | q_norm_mean=37.145608 | z_gt_norm_mean=1.270137
+valuate on test_u_refer:  miou 0.6859480822706291  true fscore 0.7735356919141486 
+bridge on test_u_refer: cos_delta_p_mask_mean=0.788825 | cos_delta_q_mean=-0.012263 | cos_delta_z_gt_mean=0.066219 | cos_p_hat_p_mask_mean=0.006046 | cos_p_hat_q_mean=0.999688 | cos_p_hat_z_gt_mean=0.051902 | cos_p_mask_z_gt_mean=0.056127 | delta_norm_mean=0.757877 | gate_mean=0.136287 | gate_std=0.020245 | p_hat_norm_mean=30.346972 | p_mask_norm_mean=0.854621 | q_norm_mean=30.346972 | z_gt_norm_mean=1.131404
+
+ valuate on  test_n_refer:   metric 0.014475596137344837 

log/rpb_dev_qonly_pm_only_a018.txt

@@ -0,0 +1,11 @@
+Epoch 0: running_loss 0.1250931837130338  Learning Rate:0.000291
+Epoch 1: running_loss 0.06158186250831932  Learning Rate:0.000225
+Epoch 2: running_loss 0.03905615148444971  Learning Rate:0.000124
+Epoch 3: running_loss 0.028493995574535802  Learning Rate:0.000035
+Epoch 4: running_loss 0.022694221674464644  Learning Rate:0.000000
+valuate on test_s_refer:  miou 0.7231086666105239  true fscore 0.8120589338685386 
+bridge on test_s_refer: cos_delta_p_mask_mean=0.740588 | cos_delta_q_mean=-0.082204 | cos_delta_z_gt_mean=0.083615 | cos_p_hat_p_mask_mean=0.120609 | cos_p_hat_q_mean=0.986413 | cos_p_hat_z_gt_mean=0.063688 | cos_p_mask_z_gt_mean=0.064319 | delta_norm_mean=6.165701 | gate_mean=0.922904 | gate_std=0.048146 | p_hat_norm_mean=37.145128 | p_mask_norm_mean=0.855194 | q_norm_mean=37.145128 | z_gt_norm_mean=1.270137
+valuate on test_u_refer:  miou 0.6828930461963626  true fscore 0.7766606059018523 
+bridge on test_u_refer: cos_delta_p_mask_mean=0.750842 | cos_delta_q_mean=-0.072793 | cos_delta_z_gt_mean=0.080115 | cos_p_hat_p_mask_mean=0.095975 | cos_p_hat_q_mean=0.989300 | cos_p_hat_z_gt_mean=0.061951 | cos_p_mask_z_gt_mean=0.056127 | delta_norm_mean=4.458672 | gate_mean=0.815494 | gate_std=0.064275 | p_hat_norm_mean=30.349046 | p_mask_norm_mean=0.854621 | q_norm_mean=30.349046 | z_gt_norm_mean=1.131404
+
+ valuate on  test_n_refer:   metric 0.014240134507417679 

log/rpb_e1_baseline.txt

@@ -0,0 +1,5 @@
+Epoch 0: running_loss 0.0045423684641718864  Learning Rate:0.000000
+valuate on test_s_refer:  miou 0.7299158895817891  true fscore 0.8098922965396196 
+valuate on test_u_refer:  miou 0.7330115197712439  true fscore 0.8183729078620672 
+
+ valuate on  test_n_refer:   metric 0.1223459392786026 

log/rpb_e4_min.txt

@@ -0,0 +1,16 @@
+Epoch 0: running_loss 7.052718125283718  Learning Rate:0.000097
+Epoch 1: running_loss 3.5262171775102615  Learning Rate:0.000075
+Epoch 2: running_loss 2.35092111180226  Learning Rate:0.000041
+Epoch 3: running_loss 1.7629929669201374  Learning Rate:0.000012
+Epoch 4: running_loss 1.4105001017451286  Learning Rate:0.000000
+Epoch 0: running_loss 7.052717879414558  Learning Rate:0.000097
+Epoch 1: running_loss 3.526217419654131  Learning Rate:0.000075
+Epoch 2: running_loss 2.3509211614727974  Learning Rate:0.000041
+Epoch 3: running_loss 1.762992987409234  Learning Rate:0.000012
+Epoch 4: running_loss 1.410500232875347  Learning Rate:0.000000
+valuate on test_s_refer:  miou 0.010701371397460661  true fscore 0.16367542997933923 
+bridge on test_s_refer: cos_p_hat_p_mask_mean=-0.003076 | cos_p_hat_q_mean=1.000000 | cos_p_hat_z_gt_mean=0.031631 | cos_p_mask_z_gt_mean=0.072929 | delta_norm_mean=0.003709 | gate_mean=0.019151 | gate_std=0.000754 | p_hat_norm_mean=6.222885 | p_mask_norm_mean=0.854909 | q_norm_mean=6.223040 | z_gt_norm_mean=1.275222
+valuate on test_u_refer:  miou 0.03141531638093511  true fscore 0.1579975866433233 
+bridge on test_u_refer: cos_p_hat_p_mask_mean=-0.004606 | cos_p_hat_q_mean=1.000000 | cos_p_hat_z_gt_mean=-0.000177 | cos_p_mask_z_gt_mean=0.081724 | delta_norm_mean=0.003449 | gate_mean=0.019014 | gate_std=0.000658 | p_hat_norm_mean=5.875611 | p_mask_norm_mean=0.855032 | q_norm_mean=5.875684 | z_gt_norm_mean=0.969146
+
+ valuate on  test_n_refer:   metric 0.15515293180942535 

log/rpb_e4_min_v2.txt

@@ -0,0 +1,11 @@
+Epoch 0: running_loss 0.2470331892836839  Learning Rate:0.000097
+Epoch 1: running_loss 0.12353144341614097  Learning Rate:0.000075
+Epoch 2: running_loss 0.08232998211557667  Learning Rate:0.000041
+Epoch 3: running_loss 0.0617638936964795  Learning Rate:0.000012
+Epoch 4: running_loss 0.04941030433401465  Learning Rate:0.000000
+valuate on test_s_refer:  miou 0.729936970449844  true fscore 0.8099028875399381 
+bridge on test_s_refer: cos_p_hat_p_mask_mean=-0.009047 | cos_p_hat_q_mean=1.000000 | cos_p_hat_z_gt_mean=0.060572 | cos_p_mask_z_gt_mean=0.072929 | delta_norm_mean=0.004936 | gate_mean=0.024371 | gate_std=0.005409 | p_hat_norm_mean=36.236958 | p_mask_norm_mean=0.854909 | q_norm_mean=36.239986 | z_gt_norm_mean=1.275222
+valuate on test_u_refer:  miou 0.7330397108156467  true fscore 0.8183516443520784 
+bridge on test_u_refer: cos_p_hat_p_mask_mean=-0.004755 | cos_p_hat_q_mean=1.000000 | cos_p_hat_z_gt_mean=0.013517 | cos_p_mask_z_gt_mean=0.081724 | delta_norm_mean=0.004417 | gate_mean=0.023295 | gate_std=0.004361 | p_hat_norm_mean=30.846060 | p_mask_norm_mean=0.855032 | q_norm_mean=30.848833 | z_gt_norm_mean=0.969146
+
+ valuate on  test_n_refer:   metric 0.12235464155673981 

log/rpb_probe_a1_teacher_only.txt

@@ -0,0 +1,22 @@
+Epoch 0: running_loss 0.15941409580409527  Learning Rate:0.000150
+Epoch 1: running_loss 0.07969226781278849  Learning Rate:0.000300
+Epoch 2: running_loss 0.05310918173442284  Learning Rate:0.000298
+Epoch 3: running_loss 0.03982830489985645  Learning Rate:0.000291
+Epoch 4: running_loss 0.03184974528849125  Learning Rate:0.000280
+Epoch 5: running_loss 0.02652722302203377  Learning Rate:0.000265
+Epoch 6: running_loss 0.02272333244660071  Learning Rate:0.000246
+Epoch 7: running_loss 0.019872855627909303  Learning Rate:0.000225
+Epoch 8: running_loss 0.017649518532885447  Learning Rate:0.000201
+Epoch 9: running_loss 0.015872883144766092  Learning Rate:0.000176
+Epoch 10: running_loss 0.014423399655656382  Learning Rate:0.000150
+Epoch 11: running_loss 0.013206382282078266  Learning Rate:0.000124
+Epoch 12: running_loss 0.012179449988672366  Learning Rate:0.000099
+Epoch 13: running_loss 0.011303224135190248  Learning Rate:0.000075
+Epoch 14: running_loss 0.010542566950122515  Learning Rate:0.000054
+Epoch 15: running_loss 0.0098747648880817  Learning Rate:0.000035
+Epoch 16: running_loss 0.009292871307800798  Learning Rate:0.000020
+Epoch 17: running_loss 0.008775248295731015  Learning Rate:0.000009
+Epoch 18: running_loss 0.008311718702316284  Learning Rate:0.000002
+Epoch 19: running_loss 0.007893257355317474  Learning Rate:0.000000
+valuate on train_overfit:  miou 0.8857842811448791  true fscore 0.9381048823706806 
+bridge on train_overfit: cos_p_hat_p_mask_mean=0.004767 | cos_p_hat_q_mean=0.999904 | cos_p_hat_z_gt_mean=0.058385 | cos_p_mask_z_gt_mean=0.065508 | delta_norm_mean=0.571159 | gate_mean=0.425535 | gate_std=0.188610 | p_hat_norm_mean=32.916147 | p_mask_norm_mean=0.854710 | q_norm_mean=33.257832 | z_gt_norm_mean=1.191098

log/rpb_probe_a1_teacher_only_v2.txt

@@ -0,0 +1,22 @@
+Epoch 0: running_loss 0.15941409580409527  Learning Rate:0.000150
+Epoch 1: running_loss 0.0796922636218369  Learning Rate:0.000300
+Epoch 2: running_loss 0.05310917769869169  Learning Rate:0.000298
+Epoch 3: running_loss 0.03982830559834838  Learning Rate:0.000291
+Epoch 4: running_loss 0.03184974305331707  Learning Rate:0.000280
+Epoch 5: running_loss 0.02652722333247463  Learning Rate:0.000265
+Epoch 6: running_loss 0.022723329652632986  Learning Rate:0.000246
+Epoch 7: running_loss 0.019872855744324625  Learning Rate:0.000225
+Epoch 8: running_loss 0.017649516980681155  Learning Rate:0.000201
+Epoch 9: running_loss 0.015872882585972546  Learning Rate:0.000176
+Epoch 10: running_loss 0.01442340033298189  Learning Rate:0.000150
+Epoch 11: running_loss 0.013206382825349769  Learning Rate:0.000124
+Epoch 12: running_loss 0.012179449773751773  Learning Rate:0.000099
+Epoch 13: running_loss 0.011303224002144166  Learning Rate:0.000075
+Epoch 14: running_loss 0.010542566763858001  Learning Rate:0.000054
+Epoch 15: running_loss 0.00987476430600509  Learning Rate:0.000035
+Epoch 16: running_loss 0.009292872293907054  Learning Rate:0.000020
+Epoch 17: running_loss 0.0087752483992113  Learning Rate:0.000009
+Epoch 18: running_loss 0.008311718849367216  Learning Rate:0.000002
+Epoch 19: running_loss 0.007893257355317474  Learning Rate:0.000000
+valuate on train_overfit:  miou 0.8857840351993218  true fscore 0.9381047114729881 
+bridge on train_overfit: cos_delta_p_mask_mean=0.354064 | cos_delta_q_mean=-0.604202 | cos_delta_z_gt_mean=0.126264 | cos_p_hat_p_mask_mean=0.004767 | cos_p_hat_q_mean=0.999904 | cos_p_hat_z_gt_mean=0.058385 | cos_p_mask_z_gt_mean=0.065508 | delta_norm_mean=0.571159 | gate_mean=0.425535 | gate_std=0.188610 | p_hat_norm_mean=32.916147 | p_mask_norm_mean=0.854710 | q_norm_mean=33.257831 | z_gt_norm_mean=1.191098

log/rpb_probe_a1p_directional_pm_only.txt

@@ -0,0 +1,22 @@
+Epoch 0: running_loss 0.11214640829712152  Learning Rate:0.000150
+Epoch 1: running_loss 0.05601485609076917  Learning Rate:0.000300
+Epoch 2: running_loss 0.03723815083503723  Learning Rate:0.000298
+Epoch 3: running_loss 0.02785203023813665  Learning Rate:0.000291
+Epoch 4: running_loss 0.022219109814614058  Learning Rate:0.000280
+Epoch 5: running_loss 0.018464789803450305  Learning Rate:0.000265
+Epoch 6: running_loss 0.01578202284872532  Learning Rate:0.000246
+Epoch 7: running_loss 0.013773231767117977  Learning Rate:0.000225
+Epoch 8: running_loss 0.012206872407760885  Learning Rate:0.000201
+Epoch 9: running_loss 0.010958488751202821  Learning Rate:0.000176
+Epoch 10: running_loss 0.009943378030915152  Learning Rate:0.000150
+Epoch 11: running_loss 0.009091336939794322  Learning Rate:0.000124
+Epoch 12: running_loss 0.00837581454274746  Learning Rate:0.000099
+Epoch 13: running_loss 0.007767901090638978  Learning Rate:0.000075
+Epoch 14: running_loss 0.007241058039168516  Learning Rate:0.000054
+Epoch 15: running_loss 0.006779163610190153  Learning Rate:0.000035
+Epoch 16: running_loss 0.006378827452221338  Learning Rate:0.000020
+Epoch 17: running_loss 0.006023053286804093  Learning Rate:0.000009
+Epoch 18: running_loss 0.005704282390836038  Learning Rate:0.000002
+Epoch 19: running_loss 0.005416269856505096  Learning Rate:0.000000
+valuate on train_overfit:  miou 0.883418077353781  true fscore 0.937678836286068 
+bridge on train_overfit: cos_delta_p_mask_mean=0.818447 | cos_delta_q_mean=-0.029885 | cos_delta_z_gt_mean=0.063824 | cos_p_hat_p_mask_mean=0.047561 | cos_p_hat_q_mean=0.998200 | cos_p_hat_z_gt_mean=0.059441 | cos_p_mask_z_gt_mean=0.065508 | delta_norm_mean=2.004932 | gate_mean=0.598515 | gate_std=0.034498 | p_hat_norm_mean=33.257835 | p_mask_norm_mean=0.854710 | q_norm_mean=33.257834 | z_gt_norm_mean=1.191098

log/rpb_probe_a1p_directional_pm_only_a02.txt

@@ -0,0 +1,22 @@
+Epoch 0: running_loss 0.11209722375497222  Learning Rate:0.000150
+Epoch 1: running_loss 0.05594216543249786  Learning Rate:0.000300
+Epoch 2: running_loss 0.03709370751554767  Learning Rate:0.000298
+Epoch 3: running_loss 0.027660266729071736  Learning Rate:0.000291
+Epoch 4: running_loss 0.02200547931715846  Learning Rate:0.000280
+Epoch 5: running_loss 0.018238045663262408  Learning Rate:0.000265
+Epoch 6: running_loss 0.015544687730393239  Learning Rate:0.000246
+Epoch 7: running_loss 0.013526892522349954  Learning Rate:0.000225
+Epoch 8: running_loss 0.01195424489883913  Learning Rate:0.000201
+Epoch 9: running_loss 0.010702831950038672  Learning Rate:0.000176
+Epoch 10: running_loss 0.009686671324412931  Learning Rate:0.000150
+Epoch 11: running_loss 0.008837080444209278  Learning Rate:0.000124
+Epoch 12: running_loss 0.008126160953767024  Learning Rate:0.000099
+Epoch 13: running_loss 0.007524690058614526  Learning Rate:0.000075
+Epoch 14: running_loss 0.007005957514047622  Learning Rate:0.000054
+Epoch 15: running_loss 0.0065534417517483234  Learning Rate:0.000035
+Epoch 16: running_loss 0.006162627901443664  Learning Rate:0.000020
+Epoch 17: running_loss 0.005816713182462586  Learning Rate:0.000009
+Epoch 18: running_loss 0.005507827319793011  Learning Rate:0.000002
+Epoch 19: running_loss 0.005229406012222171  Learning Rate:0.000000
+valuate on train_overfit:  miou 0.8791497684578644  true fscore 0.9370119273662567 
+bridge on train_overfit: cos_delta_p_mask_mean=0.808940 | cos_delta_q_mean=-0.059708 | cos_delta_z_gt_mean=0.061659 | cos_p_hat_p_mask_mean=0.095240 | cos_p_hat_q_mean=0.992816 | cos_p_hat_z_gt_mean=0.062994 | cos_p_mask_z_gt_mean=0.065508 | delta_norm_mean=4.005328 | gate_mean=0.600366 | gate_std=0.034520 | p_hat_norm_mean=33.257835 | p_mask_norm_mean=0.854710 | q_norm_mean=33.257836 | z_gt_norm_mean=1.191098

log/rpb_probe_eval_directional_pm_only_a02.txt

@@ -0,0 +1,11 @@
+Epoch 0: running_loss 0.12453739601187408  Learning Rate:0.000291
+Epoch 1: running_loss 0.06081169372191653  Learning Rate:0.000225
+Epoch 2: running_loss 0.039517335942946374  Learning Rate:0.000124
+Epoch 3: running_loss 0.029158065939554945  Learning Rate:0.000035
+Epoch 4: running_loss 0.02320093212183565  Learning Rate:0.000000
+valuate on test_s_refer:  miou 0.7251764057789819  true fscore 0.8044321979023517 
+bridge on test_s_refer: cos_delta_p_mask_mean=0.754565 | cos_delta_q_mean=-0.062171 | cos_delta_z_gt_mean=0.077296 | cos_p_hat_p_mask_mean=0.084720 | cos_p_hat_q_mean=0.992132 | cos_p_hat_z_gt_mean=0.070147 | cos_p_mask_z_gt_mean=0.072929 | delta_norm_mean=4.598394 | gate_mean=0.625537 | gate_std=0.054432 | p_hat_norm_mean=36.239987 | p_mask_norm_mean=0.854909 | q_norm_mean=36.239987 | z_gt_norm_mean=1.275222
+valuate on test_u_refer:  miou 0.7347305961538223  true fscore 0.8193065231665969 
+bridge on test_u_refer: cos_delta_p_mask_mean=0.754954 | cos_delta_q_mean=-0.054195 | cos_delta_z_gt_mean=0.089436 | cos_p_hat_p_mask_mean=0.077127 | cos_p_hat_q_mean=0.994077 | cos_p_hat_z_gt_mean=0.023352 | cos_p_mask_z_gt_mean=0.081724 | delta_norm_mean=3.370293 | gate_mean=0.544416 | gate_std=0.033540 | p_hat_norm_mean=30.852975 | p_mask_norm_mean=0.855032 | q_norm_mean=30.852975 | z_gt_norm_mean=0.969146
+
+ valuate on  test_n_refer:   metric 0.12181796133518219 

log/rpb_probe_eval_directional_pm_only_a02_step0.txt

@@ -0,0 +1,7 @@
+Epoch 0: running_loss 0.01385641098022461  Learning Rate:0.000000
+valuate on test_s_refer:  miou 0.7251643069144439  true fscore 0.8044421944022179 
+bridge on test_s_refer: cos_delta_p_mask_mean=0.754565 | cos_delta_q_mean=-0.062169 | cos_delta_z_gt_mean=0.077297 | cos_p_hat_p_mask_mean=0.084709 | cos_p_hat_q_mean=0.992133 | cos_p_hat_z_gt_mean=0.070145 | cos_p_mask_z_gt_mean=0.072929 | delta_norm_mean=4.598003 | gate_mean=0.625515 | gate_std=0.054416 | p_hat_norm_mean=36.238429 | p_mask_norm_mean=0.854909 | q_norm_mean=36.238428 | z_gt_norm_mean=1.275222
+valuate on test_u_refer:  miou 0.7346898949889146  true fscore 0.819309664927423 
+bridge on test_u_refer: cos_delta_p_mask_mean=0.754958 | cos_delta_q_mean=-0.054197 | cos_delta_z_gt_mean=0.089438 | cos_p_hat_p_mask_mean=0.077138 | cos_p_hat_q_mean=0.994077 | cos_p_hat_z_gt_mean=0.023334 | cos_p_mask_z_gt_mean=0.081724 | delta_norm_mean=3.370548 | gate_mean=0.544434 | gate_std=0.033514 | p_hat_norm_mean=30.854847 | p_mask_norm_mean=0.855032 | q_norm_mean=30.854847 | z_gt_norm_mean=0.969146
+
+ valuate on  test_n_refer:   metric 0.12185448408126831 

log/rpb_probe_mixed_pm_only_a02_wm005_s80.txt

@@ -0,0 +1,11 @@
+Epoch 0: running_loss 0.11956256674602628  Learning Rate:0.000048
+Epoch 1: running_loss 0.059521447168663144  Learning Rate:0.000038
+Epoch 2: running_loss 0.03955021120297412  Learning Rate:0.000021
+Epoch 3: running_loss 0.029611277248477563  Learning Rate:0.000006
+Epoch 4: running_loss 0.023673650273121894  Learning Rate:0.000000
+valuate on test_s_refer:  miou 0.7234249453799384  true fscore 0.8020988971926272 
+bridge on test_s_refer: cos_delta_p_mask_mean=0.752115 | cos_delta_q_mean=-0.071252 | cos_delta_z_gt_mean=0.081856 | cos_p_hat_p_mask_mean=0.098034 | cos_p_hat_q_mean=0.989714 | cos_p_hat_z_gt_mean=0.072197 | cos_p_mask_z_gt_mean=0.072929 | delta_norm_mean=5.254162 | gate_mean=0.718218 | gate_std=0.053861 | p_hat_norm_mean=36.239985 | p_mask_norm_mean=0.854909 | q_norm_mean=36.239985 | z_gt_norm_mean=1.275222
+valuate on test_u_refer:  miou 0.7361468947966933  true fscore 0.8214005154371261 
+bridge on test_u_refer: cos_delta_p_mask_mean=0.754059 | cos_delta_q_mean=-0.063183 | cos_delta_z_gt_mean=0.096618 | cos_p_hat_p_mask_mean=0.090575 | cos_p_hat_q_mean=0.991959 | cos_p_hat_z_gt_mean=0.025874 | cos_p_mask_z_gt_mean=0.081724 | delta_norm_mean=3.926547 | gate_mean=0.635724 | gate_std=0.036734 | p_hat_norm_mean=30.848887 | p_mask_norm_mean=0.855032 | q_norm_mean=30.848887 | z_gt_norm_mean=0.969146
+
+ valuate on  test_n_refer:   metric 0.12358559668064117