omnieyes [mslab]

omnieyes

This is an old revision of the document!

Weekly Meeting

2018/12/06

Model compression and video object detection

2018/12/20

Low-shot and unsupervised object detection

2018/12/27

Faster-RCNN Inception V2 Pruning Result

2019/01/10

Binary classification pruning

2019/01/24

Binary classification pruning updated

2019/01/31

Binary classification (InceptionV3)

2019/02/14

Sparse convolution

2019/02/21

Sparse convolution improvement

2019/03/07

Sparse convolution (apply some tricks)

2019/03/14

Sparse convolution timing result, multi-label classification prouning

2019/03/21

Sparse convolution tutorial

2019/04/12

Pruning with desired sparsity level

2019/04/19

Expected performance of sparse convolution with equally distributed weights

2019/05/03

https://drive.google.com/open?id=1tYKjVpPQV7L2z8VcNLgC5p4yHjc-4ien4123A78p6rw

2019/05/10

https://docs.google.com/presentation/d/1NAoTX2MAJNDXMOTRhJjqfK6ZNJGJAXG3-PBxJWp_Hqk/edit?usp=sharing

2019/05/17

https://docs.google.com/presentation/d/1vLjWd13TQmFMam7RDKHQjK8nS-MT1ZS91fVCNUnVJZk/edit?usp=sharing

2019/05/24

https://docs.google.com/presentation/d/1l2YBXibTaKz8kolub7T-0qjnotUTY1eiPhMopJTPLFY/edit?usp=sharing

2019/06/21

Pruning detection models

References

Image Object Detection

Speed/accuracy trade-offs for modern convolutional object detectors (CVPR 2017)

Mobile Video Object Detection

Mobile Video Object Detection with Temporally-Aware Feature Maps (CVPR 2018)

Towards High Performance Video Object Detection for Mobiles (Microsoft Research Asia)

Few-shot Object Detection

Few-Example Object Detection with Model Communication (IEEE 2017)

LSTD: A Low-Shot Transfer Detector for Object Detection (AAAI 2018)

omnieyes.1561095824.txt.gz · Last modified: 2019/06/21 13:43 by djshen