| tool,dataset,modality,metric,value,n,train_status,notes | |
| pyfeat_v2,disfaplus,au,f1_mean,0.5396,57150,out_of_sample,"truth>=2, prob>=0.5; 12 AU" | |
| pyfeat_v2,disfaplus,au,f1_AU01,0.7837,57150,out_of_sample, | |
| pyfeat_v2,disfaplus,au,f1_AU02,0.5674,57150,out_of_sample, | |
| pyfeat_v2,disfaplus,au,f1_AU04,0.7079,57150,out_of_sample, | |
| pyfeat_v2,disfaplus,au,f1_AU05,0.5788,57150,out_of_sample, | |
| pyfeat_v2,disfaplus,au,f1_AU06,0.5858,57150,out_of_sample, | |
| pyfeat_v2,disfaplus,au,f1_AU09,0.8252,57150,out_of_sample, | |
| pyfeat_v2,disfaplus,au,f1_AU12,0.559,57150,out_of_sample, | |
| pyfeat_v2,disfaplus,au,f1_AU15,0.649,57150,out_of_sample, | |
| pyfeat_v2,disfaplus,au,f1_AU17,0.2816,57150,out_of_sample, | |
| pyfeat_v2,disfaplus,au,f1_AU20,0.0119,57150,out_of_sample, | |
| pyfeat_v2,disfaplus,au,f1_AU25,0.6682,57150,out_of_sample, | |
| pyfeat_v2,disfaplus,au,f1_AU26,0.2563,57150,out_of_sample, | |
| pyfeat_v1,disfaplus,au,f1_mean,0.2503,57150,out_of_sample,"truth>=2, prob>=0.5; 12 AU" | |
| pyfeat_v1,disfaplus,au,f1_AU01,0.3393,57150,out_of_sample, | |
| pyfeat_v1,disfaplus,au,f1_AU02,0.2361,57150,out_of_sample, | |
| pyfeat_v1,disfaplus,au,f1_AU04,0.429,57150,out_of_sample, | |
| pyfeat_v1,disfaplus,au,f1_AU05,0.0,57150,out_of_sample, | |
| pyfeat_v1,disfaplus,au,f1_AU06,0.3213,57150,out_of_sample, | |
| pyfeat_v1,disfaplus,au,f1_AU09,0.1334,57150,out_of_sample, | |
| pyfeat_v1,disfaplus,au,f1_AU12,0.3927,57150,out_of_sample, | |
| pyfeat_v1,disfaplus,au,f1_AU15,0.1179,57150,out_of_sample, | |
| pyfeat_v1,disfaplus,au,f1_AU17,0.1368,57150,out_of_sample, | |
| pyfeat_v1,disfaplus,au,f1_AU20,0.096,57150,out_of_sample, | |
| pyfeat_v1,disfaplus,au,f1_AU25,0.6813,57150,out_of_sample, | |
| pyfeat_v1,disfaplus,au,f1_AU26,0.1202,57150,out_of_sample, | |
| openface3,disfaplus,au,f1_mean,0.4882,57668,out_of_sample,8 AU predicted; missing AU treated as 0 over 12 | |
| openface3,disfaplus,au,f1_AU01,0.8476,57668,out_of_sample, | |
| openface3,disfaplus,au,f1_AU02,0.6899,57668,out_of_sample, | |
| openface3,disfaplus,au,f1_AU04,0.8354,57668,out_of_sample, | |
| openface3,disfaplus,au,f1_AU06,0.4202,57668,out_of_sample, | |
| openface3,disfaplus,au,f1_AU09,0.8016,57668,out_of_sample, | |
| openface3,disfaplus,au,f1_AU12,0.7375,57668,out_of_sample, | |
| openface3,disfaplus,au,f1_AU25,0.9338,57668,out_of_sample, | |
| openface3,disfaplus,au,f1_AU26,0.5919,57668,out_of_sample, | |
| libreface,disfaplus,au,f1_mean,0.4614,57150,out_of_sample,"research RepVGG; truth>=2, intensity>=2; 12 AU" | |
| libreface,disfaplus,au,f1_AU01,0.7031,57150,out_of_sample, | |
| libreface,disfaplus,au,f1_AU02,0.7057,57150,out_of_sample, | |
| libreface,disfaplus,au,f1_AU04,0.7462,57150,out_of_sample, | |
| libreface,disfaplus,au,f1_AU05,0.6256,57150,out_of_sample, | |
| libreface,disfaplus,au,f1_AU06,0.1116,57150,out_of_sample, | |
| libreface,disfaplus,au,f1_AU09,0.7505,57150,out_of_sample, | |
| libreface,disfaplus,au,f1_AU12,0.5632,57150,out_of_sample, | |
| libreface,disfaplus,au,f1_AU15,0.0671,57150,out_of_sample, | |
| libreface,disfaplus,au,f1_AU17,0.0648,57150,out_of_sample, | |
| libreface,disfaplus,au,f1_AU20,0.0061,57150,out_of_sample, | |
| libreface,disfaplus,au,f1_AU25,0.9065,57150,out_of_sample, | |
| libreface,disfaplus,au,f1_AU26,0.2869,57150,out_of_sample, | |
| libreface,disfaplus,au,pcc_AU01,0.7296,57150,out_of_sample, | |
| libreface,disfaplus,au,pcc_AU02,0.7157,57150,out_of_sample, | |
| libreface,disfaplus,au,pcc_AU04,0.8852,57150,out_of_sample, | |
| libreface,disfaplus,au,pcc_AU05,0.8449,57150,out_of_sample, | |
| libreface,disfaplus,au,pcc_AU06,0.7509,57150,out_of_sample, | |
| libreface,disfaplus,au,pcc_AU09,0.8643,57150,out_of_sample, | |
| libreface,disfaplus,au,pcc_AU12,0.8451,57150,out_of_sample, | |
| libreface,disfaplus,au,pcc_AU15,0.5913,57150,out_of_sample, | |
| libreface,disfaplus,au,pcc_AU17,0.6065,57150,out_of_sample, | |
| libreface,disfaplus,au,pcc_AU20,0.2439,57150,out_of_sample, | |
| libreface,disfaplus,au,pcc_AU25,0.9421,57150,out_of_sample, | |
| libreface,disfaplus,au,pcc_AU26,0.7767,57150,out_of_sample, | |
| pyafar,disfaplus,au,f1_mean_7au,0.2597,57150,out_of_sample,7 of 12 AU overlap; occ>=0.5 vs truth>=2 | |
| pyafar,disfaplus,au,f1_AU01,0.0031,57150,out_of_sample, | |
| pyafar,disfaplus,au,f1_AU02,0.398,57150,out_of_sample, | |
| pyafar,disfaplus,au,f1_AU04,0.0,57150,out_of_sample, | |
| pyafar,disfaplus,au,f1_AU06,0.6067,57150,out_of_sample, | |
| pyafar,disfaplus,au,f1_AU12,0.5483,57150,out_of_sample, | |
| pyafar,disfaplus,au,f1_AU15,0.1257,57150,out_of_sample, | |
| pyafar,disfaplus,au,f1_AU17,0.1364,57150,out_of_sample, | |
| pyfeat_v2,affectnet_val,emotion,accuracy,0.4919,992,held_out, | |
| pyfeat_v2,affectnet_val,emotion,f1_macro,0.4787,992,held_out, | |
| pyfeat_v2,affectnet_val,valence_arousal,valence_ccc,0.5349,992,held_out, | |
| pyfeat_v2,affectnet_val,valence_arousal,arousal_ccc,0.4822,992,held_out, | |
| pyfeat_v2,raf_test,emotion,accuracy,0.6555,3019,held_out, | |
| pyfeat_v2,raf_test,emotion,f1_macro,0.5275,3019,held_out, | |
| pyfeat_v2,columbia_gaze,gaze,angular_mae_deg,2.721,1176,in_sample,"a=pitch,b=yaw;sign_pitch=1;sign_yaw=-1;unit=rad" | |
| pyfeat_v2,ethxgaze,gaze,angular_mae_deg,44.566,2763,out_of_sample,"a=pitch,b=yaw;sign_pitch=-1;sign_yaw=1;unit=rad" | |
| pyfeat_v2,eyediap,gaze,angular_mae_deg,19.975,800,out_of_sample,"a=pitch,b=yaw;sign_pitch=-1;sign_yaw=1;unit=rad" | |
| pyfeat_v2,eyediap_norm,gaze,angular_mae_deg,19.418,800,out_of_sample,"a=pitch,b=yaw;sign_pitch=-1;sign_yaw=1;unit=rad" | |
| pyfeat_v2,gaze360,gaze,angular_mae_deg,9.416,2425,held_out,"a=pitch,b=yaw;sign_pitch=1;sign_yaw=1;unit=rad" | |
| pyfeat_v2,mpiifacegaze,gaze,angular_mae_deg,2.802,3000,in_sample,"a=pitch,b=yaw;sign_pitch=1;sign_yaw=-1;unit=rad" | |
| pyfeat_v2,mpiigaze,gaze,reported_mae_deg,3.92,,unknown,"au_deep v2.4 DEPLOYED ckpt (v24fix_s3, weight-verified 50/50 match to HF face_multitask_v2.pt); in-distribution" | |
| pyfeat_v2,gaze360,gaze,reported_mae_deg,6.81,,held_out,"au_deep v2.4 DEPLOYED ckpt (v24fix_s3, weight-verified); in-distribution" | |
| openface3,mpiifacegaze,gaze,reported_mae_deg,2.56,,in_sample,OpenFace 3.0 paper (arXiv:2506.02891) | |
| openface3,gaze360,gaze,reported_mae_deg,10.6,,in_sample,OpenFace 3.0 paper (arXiv:2506.02891) | |
| l2cs_net,mpiigaze,gaze,reported_mae_deg,3.92,,unknown,L2CS-Net paper (arXiv:2203.03339); py-feat's gaze lineage | |
| l2cs_net,gaze360,gaze,reported_mae_deg,10.41,,unknown,L2CS-Net paper (arXiv:2203.03339); py-feat's gaze lineage | |
| libreface,gaze360,gaze,reported_mae_deg,14.68,,out_of_sample,"LibreFace 2.0 landmark-MLP, 'Is Geometry Enough?' (arXiv:2603.24724); within-domain; landmark-based" | |
| lit_sota_within,eyediap,gaze,reported_mae_deg,5.0,,unknown,"EYEDIAP within-dataset SOTA: MAFI-Gaze 5.0, RT-Gene 6.3 (general gaze nets, not our tools)" | |
| lit_sota_crossds,eyediap,gaze,reported_mae_deg,8.1,,unknown,"EYEDIAP cross-dataset zero-shot: GMMGaze 8.1, GazeNet 9.6 (general gaze nets)" | |
| lit_sota_within,mpiigaze,gaze,reported_mae_deg,3.3,,unknown,MPIIGaze within-dataset SOTA range ~3-4 deg (appearance-based) | |
| lit_sota_within,gaze360,gaze,reported_mae_deg,10.0,,unknown,Gaze360 within-dataset SOTA ~10 deg (original baseline); ~9 with recent nets | |
| openface3,affectnet_val,emotion,accuracy,0.4929,980,held_out, | |
| openface3,affectnet_val,emotion,f1_macro,0.5198,980,held_out, | |
| openface3,raf_test,emotion,accuracy,0.5132,2233,out_of_sample, | |
| openface3,raf_test,emotion,f1_macro,0.469,2233,out_of_sample, | |
| openface3,columbia_gaze,gaze,angular_mae_deg,12.049,1176,out_of_sample,"a=pitch,b=yaw;sign_pitch=1;sign_yaw=1;unit=deg" | |
| openface3,ethxgaze,gaze,angular_mae_deg,37.702,2477,out_of_sample,"a=pitch,b=yaw;sign_pitch=1;sign_yaw=1;unit=rad" | |
| openface3,eyediap,gaze,angular_mae_deg,21.257,800,out_of_sample,"a=pitch,b=yaw;sign_pitch=1;sign_yaw=1;unit=rad" | |
| openface3,eyediap_norm,gaze,angular_mae_deg,21.533,800,out_of_sample,"a=pitch,b=yaw;sign_pitch=1;sign_yaw=1;unit=rad" | |
| openface3,gaze360,gaze,angular_mae_deg,41.091,2397,in_sample,"a=pitch,b=yaw;sign_pitch=-1;sign_yaw=1;unit=rad" | |
| openface3,mpiifacegaze,gaze,angular_mae_deg,7.027,2879,in_sample,"a=pitch,b=yaw;sign_pitch=1;sign_yaw=1;unit=rad" | |
| libreface,affectnet_val,emotion,accuracy,0.4553,984,held_out, | |
| libreface,affectnet_val,emotion,f1_macro,0.4026,984,held_out, | |
| libreface,raf_test,emotion,accuracy,0.6458,2705,unknown, | |
| libreface,raf_test,emotion,f1_macro,0.3855,2705,unknown, | |
| libreface,columbia_gaze,gaze,angular_mae_deg,15.401,1176,out_of_sample,"a=yaw,b=pitch;sign_pitch=1;sign_yaw=1;unit=deg" | |
| libreface,ethxgaze,gaze,angular_mae_deg,40.497,1711,out_of_sample,"a=yaw,b=pitch;sign_pitch=1;sign_yaw=1;unit=deg" | |
| libreface,eyediap,gaze,angular_mae_deg,23.748,800,out_of_sample,"a=yaw,b=pitch;sign_pitch=1;sign_yaw=1;unit=deg" | |
| libreface,eyediap_norm,gaze,angular_mae_deg,28.121,800,out_of_sample,"a=yaw,b=pitch;sign_pitch=1;sign_yaw=1;unit=deg" | |
| libreface,gaze360,gaze,angular_mae_deg,32.076,2159,out_of_sample,"a=yaw,b=pitch;sign_pitch=-1;sign_yaw=1;unit=deg" | |
| libreface,mpiifacegaze,gaze,angular_mae_deg,19.487,2987,out_of_sample,"a=yaw,b=pitch;sign_pitch=1;sign_yaw=1;unit=deg" | |