“VPR tasks”版本间的差异

2018年6月11日 (一) 01:52的版本

Task 1: 16k model noisy training

 i: large scale noisy training (7500 pnorm) 4.1-5.1. Done
 ii: model test: 5.1-5.7. Done.
 iii: full data training (7500+other dataset+more conditions). See (i). Done.
 OUTPUT: large reliable 16k model. Done.

Task 2: 8k model noisy training

 i: small scale verification: 5.1 -5.7. Done. 
 ii: large scale training: 5.14-6.1. @ Lantian. Done.
 OUTPUT: large reliable 8k model. Done.

Task 3: Full-info training

 i: programing and small test: 4.1-5.1. Done
 ii: full training for 7500 people: 5.1-6.1. Done.
 iii: adaptation for Ali dataset: 5.15-6.1. Done.
 iv: applying to 8k model. Done.
 OUTPUT: more reliable 16k and 8k model. Done.

Task 4: gated attention for backend scoring

 i: 
 ii: 
 OUTPUT: More accurate VPR backend.

Task 5: enrollment noisy traning/adaption

 i:
 ii:
 OUTPUT: More noise-robust VPR backend.