Progressive Channel-Shrinking Network
Author:
Affiliation:
1. Singapore University of Technology and Design, Singapore
2. Nanyang Technological University, Singapore
3. Monash University, Clayton, VIC, Australia
4. Lancaster University, Lancaster, U.K.
5. New York University, New York, NY, USA
Funder
MOE AcRF Tier 2
National Research Foundation Singapore
SUTD SKI
EU Horizon 2020 Research and Innovation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/6046/10384483/10169086.pdf?arnumber=10169086
Reference65 articles.
1. Batch-shaping for learning conditional channel gated networks;Bejnordi,2020
2. YOLOV4: Optimal speed and accuracy of object detection;Bochkovskiy,2020
3. Self-Adaptive Network Pruning
4. You Look Twice: GaterNet for Dynamic Filter Selection in CNNs
5. Xception: Deep Learning with Depthwise Separable Convolutions
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