“2023-07-24”版本间的差异

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(12位用户的19个中间修订版本未显示)
第5行: 第5行:
 
|Dong Wang
 
|Dong Wang
 
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*  
+
* Zhongdian Yanfa, material support
 +
* Two presentations prepared
 +
* Blingbling: general training method for KWS; speed up for MMeg net
 
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*
 
*
第16行: 第18行:
 
|Lantian Li
 
|Lantian Li
 
||  
 
||  
*
+
* APT-group
 +
** Binary, BCE, WBA, DataAug+DANN, CNC-AV
 +
* HUAWEI VPR project
 +
* ICASSP review
 
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*  
 
*  
第25行: 第30行:
 
|Ying Shi
 
|Ying Shi
 
||  
 
||  
*
+
* School project support
 +
* Verify big KWS model
 +
** pretrian-20 epoch:th: 0.7 => 90.96% / 3 (ACC / FA)
 +
** pretrain-20 epoch fine-tune with batch_bce :  th: 0.7 => 89.86% / 5  (ACC / FA)
 +
* Write paper
 +
** test on Clean data set (VS clean baseline)
 +
** test on noisy data set (VS data augmentation)
 +
** test 3/4 mix (training on 2 mix)
 +
** extreme test
 
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||
 
*  
 
*  
第36行: 第49行:
 
|Chen Chen
 
|Chen Chen
 
||  
 
||  
*
+
* Review
 +
* data pre-process pipeline
 +
* run VSR baseline
 +
* tsy [https://z1et6d3xtb.feishu.cn/docx/S7Qxd1xmKoY5VDxk3gwcqjlRnRb]
 
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||
*
+
* prepare VSR/VTS baseline
 
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||
 
*   
 
*   
第47行: 第63行:
 
|Pengqi Li
 
|Pengqi Li
 
||   
 
||   
*
+
* Quantitative channel and content relationship[https://z1et6d3xtb.feishu.cn/docx/TjVRdGmq2oRQNmxXlRoclFrfngh]
 
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||
 
*
 
*
第59行: 第75行:
 
|Wan Lin
 
|Wan Lin
 
||  
 
||  
*
+
* experiment [https://z1et6d3xtb.feishu.cn/docx/NbBLdn71NoMoLvxolPlcPHj2nEc] & paper [https://z1et6d3xtb.feishu.cn/docx/QT3kdtajRo9576xLgWPcpcnRnBk]
 
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||
 
*
 
*
第70行: 第86行:
 
|Tianhao Wang
 
|Tianhao Wang
 
||  
 
||  
*
+
* huawei project [https://z1et6d3xtb.feishu.cn/docx/So4sd56lQokQJXxlwljcpoW8n2e]
 
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||
 
*
 
*
第80行: 第96行:
 
|-
 
|-
 
|Zhenyu Zhou
 
|Zhenyu Zhou
||
 
*
 
 
||
 
||
*  
+
*Paper writing[https://z1et6d3xtb.feishu.cn/docx/APx2d2t1IoNdELxebFxcJYtYnUe]
||
+
* Aug+Dann[https://z1et6d3xtb.feishu.cn/docx/TKIPdQx54oKeonxYlTCcWzdQnXd]
*
+
*sota_experiment[https://z1et6d3xtb.feishu.cn/docx/WLokdModuoaAPcxaR1jc1THenEe]
 +
*DA method project code(DANN,MMD,WBDA)
 
|-
 
|-
  
第92行: 第107行:
 
|Jiaying Wang
 
|Jiaying Wang
 
||  
 
||  
*
+
* paper reading
 +
* Verification of L(B), L(D)[https://z1et6d3xtb.feishu.cn/docx/UipjdRHLpoGPK7xAj89cHIIknfg?theme=LIGHT&contentTheme=DARK]
 
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||
 
*  
 
*  
第103行: 第119行:
 
|Xiaolou Li
 
|Xiaolou Li
 
||  
 
||  
*  
+
* CNC-AV code collating and Write public account tweets
 
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||
 
*  
 
*  
第114行: 第130行:
 
|Junhui Chen
 
|Junhui Chen
 
||
 
||
*
+
* Warm up experiments verifying[https://z1et6d3xtb.feishu.cn/docx/AO6Sd1VoMoJ2o1xR7kIc3VHFnHg#LpGudgzhOoDfKsx9wwbc5gY5nHh]
 
||
 
||
*
+
* ICCIP: uniform sample[https://z1et6d3xtb.feishu.cn/docx/GLaPdvyzKoXNt0xYAACccHg1nPb]
 
||
 
||
 
*   
 
*   
第123行: 第139行:
 
|Wenqiang Du
 
|Wenqiang Du
 
||  
 
||  
*
+
* Data process
 +
* Training fewshot  model
 
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||
 
*
 
*
第132行: 第149行:
 
|Yang Wei
 
|Yang Wei
 
||  
 
||  
*
+
* Huilan stuff
 
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*
 
*

2023年7月24日 (一) 10:58的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • Zhongdian Yanfa, material support
  • Two presentations prepared
  • Blingbling: general training method for KWS; speed up for MMeg net
Lantian Li
  • APT-group
    • Binary, BCE, WBA, DataAug+DANN, CNC-AV
  • HUAWEI VPR project
  • ICASSP review
Ying Shi
  • School project support
  • Verify big KWS model
    • pretrian-20 epoch:th: 0.7 => 90.96% / 3 (ACC / FA)
    • pretrain-20 epoch fine-tune with batch_bce : th: 0.7 => 89.86% / 5 (ACC / FA)
  • Write paper
    • test on Clean data set (VS clean baseline)
    • test on noisy data set (VS data augmentation)
    • test 3/4 mix (training on 2 mix)
    • extreme test
Chen Chen
  • Review
  • data pre-process pipeline
  • run VSR baseline
  • tsy [1]
  • prepare VSR/VTS baseline
Pengqi Li
  • Quantitative channel and content relationship[2]
Wan Lin
Tianhao Wang
  • huawei project [5]
Zhenyu Zhou
  • Paper writing[6]
  • Aug+Dann[7]
  • sota_experiment[8]
  • DA method project code(DANN,MMD,WBDA)
Jiaying Wang
  • paper reading
  • Verification of L(B), L(D)[9]
Xiaolou Li
  • CNC-AV code collating and Write public account tweets
Junhui Chen
  • Warm up experiments verifying[10]
  • ICCIP: uniform sample[11]
Wenqiang Du
  • Data process
  • Training fewshot model
Yang Wei
  • Huilan stuff