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Info Title: MegDet: A Large Mini-Batch Object Detector Task: Object Detection Author: C. Peng et al Arxiv: 1711.07240 Date: Nov. 2017 Published: CVPR 2018 Highlights & Drawbacks This paper presents a model that despises the first place in 2017 MS COCO Detection chanllenge. A large-scale training and detection network is propos...

Info Title: Faster R-CNN: Towards Real Time Object Detection with Region Proposal Task: Object Detection Author: Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun Date: June 2015 Arxiv: 1506.01497 Published: NIPS 2015 Highlights Faster R-CNN is the mainstream method of 2-stage method. The proposed RPN network replaces the Selecti...

Info Title: Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Task: Image Classification Author: C. Szegedy, S. Ioffe, V. Vanhoucke, and A. Alemi Arxiv: 1602.07261 Date: Feb. 2016 Highlights & Drawbacks The article mentioned in the experimental part that the Inception network can be upgraded to th...

Info Title: DeSIGN: Design Inspiration from Generative Networks Author: O. Sbai, M. Elhoseiny, A. Bordes, Y. LeCun, and C. Couprie Date: Apr. 2018 Arxiv: 1804.00921 Highlights & Drawbacks (i) different Generative Adversarial Networks architectures that start from noise vectors to generate fashion items (ii) novel loss functions th...

Info Title: Rethinking the Inception Architecture for Computer Vision Author: C. Szegedy, V. Vanhoucke, S. Ioffe, J. Shlens, and Z. Wojna Arxiv: 1512.00567 Date: Dec. 2015 Highlights & Drawbacks This article is the author’s step 2.5 to advance the inception structure. In an earlier article, the same author proposed Batch Normaliz...

Info Title: YOLO9000: Better, Faster, Stronger Task: Object Detection Author: J. Redmon and A. Farhadi Arxiv: 1612.08242 Date: Dec. 2016 Highlights & Drawbacks A significant improvement for YOLO. Motivation & Design Add BN to the convolutional layer and discard Dropout Higher size input Use Anchor Boxes and replac...

Info Title: ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design Task: Image Classification Author: N. Ma, X. Zhang, H.-T. Zheng, and J. Sun Date: Jul. 2018 Arxiv: 1807.11164 Published: ECCV 2018 Highlights & Drawbacks Detailed analysis from hardware perspective Design guidelines for efficient CNN arc...

Info Title: Speed/accuracy trade-offs for modern convolutional object detectors Task: Object Detection Author: Jonathan Huang, Vivek Rathod, et al. Arxiv: 1611.10012 Date: Nov. 2016 Published: CVPR 2017 Highlights & Drawbacks This article is an empirical study. The feature extraction network is separated as a component of ...

Info Title: Feature Pyramid Networks for Object Detection Task: Object Detection Author: Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, Serge Belongie Date: March 2016 Arxiv: 1612.03144 Published: CVPR 2017 Highlights Image pyramid to feature pyramid Motivation & Design The understanding of ...

Info Title: Training Region-based Object Detectors with Online Hard Example Mining Task: Object Detection Author: A. Shrivastava, A. Gupta, and R. Girshick Date: Apr. 2016 Arxiv: 1604.03540 Published: CVPR 2016 Highlights & Drawbacks Learning-based design for balancing examples for ROI in 2-stage detection network Plug-in...