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2017 07 10 Seventh meeting
Arthur Silber edited this page Jul 10, 2017
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Arthur:
- Ported SSD to support python3 and mxnet 0.10
- Created docker containers with python3, cuda and mxnet{master, 0.10, 0.9.5} built from source
- Working on VisualBackpropagation (currently, shape of the labels do not match)
Fabian + Martin:
- Working on mxnet amalgation (does not work yet)
Adrian:
- Resnet ergebnisse: many prediction results with very high confidence (needs careful, high thresholds), but usually, the highest prediction result is the correct one
- Merged "official" resnet architecture with our ssd, current training with resnet50 running
- Discussion:
- What result values does google get for different resnets (in their official paper)? - in general, resnets did not yield great results. Either use mobilenet for speed or inceptionnet for accuracy
Torben:
- Added funkturm to "weaken" fernsehturm
- But still, many false positives for fernsehturm
- Added siegessäule: recognized very well
- Added more images to none class: dublin spire, stuttgart fernsehturm, ..
- Overall results: fernsehturm up to mAP 0.8 (from originally ~0.5), but false "fernsehturm positives" did not go down very well
Discussion:
- Proposal Torben and Arthur: Focus on (1) Android App (2) Visual Backprop and maybe (3) binarized mxnet
Talk:
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monday 15:15
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15min
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similar to first talk, but show complete results
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less focus on related work
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idea
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releated work
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our progress
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differences vgg resnet etc
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dataset
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Android app amalgation
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(1) datensatz - updated pipeline(?) (2) network architecture (3) app
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beispiel siegessäule zum datensatz hinzufügen?
ToDo for Paper:
- Android App
- Visual Backprop
- Binarized(?) - optional