Ventral-Dorsal Neural Networks: Object Detection via Selective Attention

Ventral-Dorsal Neural Networks: Object Detection via Selective Attention

15 May 2020

M. K. Ebrahimpour

Azadeh Moghtaderi

Ming-Hsuan Yang

Papers citing "Ventral-Dorsal Neural Networks: Object Detection via Selective Attention"

7 / 7 papers shown

Title
Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features Xiang Wang Shaodi You Xi Li Huimin Ma 59 302 0 12 Jun 2018
Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning Weifeng Ge Sibei Yang Yizhou Yu 66 189 0 26 Feb 2018
Convolutional Image Captioning J. Aneja Aditya Deshpande Alex Schwing VLM 112 360 0 24 Nov 2017
R-FCN: Object Detection via Region-based Fully Convolutional Networks Jifeng Dai Yi Li Kaiming He Jian Sun ObjD 115 5,627 0 20 May 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 172 9,280 0 14 Dec 2015
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks Sean Bell C. L. Zitnick Kavita Bala Ross B. Girshick ObjD 66 1,206 0 14 Dec 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention Ke Xu Jimmy Ba Ryan Kiros Kyunghyun Cho Aaron Courville Ruslan Salakhutdinov R. Zemel Yoshua Bengio DiffM 286 10,034 0 10 Feb 2015

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