1. DeeperVision and DeepInsight Solutions
Junjie Yan*, Naiyan Wang*, Yinan Yu, Linjiao Zhao, Stan Z. Li, Dit-Yan Yeung
* denotes equal contribution

2. DeeperVision Classification
Deeper network always helps

3. DeeperVision Classification
Nesterov method based optimization
With large momentum and Nesterov based optimization method, the algorithm could smooth out the optimization path.
It can improve top 1 accuracy by 0.8%

4. DeeperVision Classification
More findings…
Slow down the speed of data abstraction (stride, kernel size, etc.)
More complicated data augmentations
Spatial Pyramid Pooling (SPP)
Our final results
Single net: Top 5 error: 10.5%
Ensemble 5 nets: Top 5 error: 9.5%

5. Deep Insight Detection
Region proposal + CNN feature extraction
Selective Search + Structural Edge [1] for region proposal.
7/8/9 Convolution Layers + SPM +2 Fully Connected Layers.
Deeper Models need more tuning iterations.
Better (Deeper) Classification CNN always helps Detection.
[1]C. Lawrence Zitnick and Piotr Dollár Edge Boxes: Locating Object Proposals from Edges ECCV 2014

6. Diagnosis Experiments (on 2013-val2 )
Original RCNN conv + SPM more iterations Structural Edge Proposal /8/9 Conv Ensemble CLS Context 42.0

7. Our Final Result
We have the best single model (40.2 mAP V.S. the 38.0 mAP of GoogLeNet)
We use a non-optimal ensemble method when submitting result. A better ensemble method leads to a 42.0 mAP on val2 after the competition.
Keeps improving…

8. Advertisement Junjie and I are looking for postdoc and job positions 
Junjie Yan:
Naiyan Wang: