omnieyes [mslab]

omnieyes

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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

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.1556089439.txt.gz · Last modified: 2019/04/24 15:03 by djshen