VPR tasks
来自cslt Wiki
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: backend scoring investigation
i: attention @Lantian: 5.5-6.1. ii: v-vector OUTPUT: More accurate VPR backend.