Do Neural Networks for Segmentation Understand Insideness?

25 January 2022

Papers citing "Do Neural Networks for Segmentation Understand Insideness?"

8 / 8 papers shown

Title
Disentangling neural mechanisms for perceptual grouping Junkyung Kim Drew Linsley Kalpit C. Thakkar Thomas Serre OCL 60 55 0 04 Jun 2019
Deep Extreme Cut: From Extreme Points to Object Segmentation Kevis-Kokitsi Maninis Sergi Caelles Jordi Pont-Tuset Luc Van Gool 60 418 0 24 Nov 2017
Fully Convolutional Instance-aware Semantic Segmentation Yi Li Haozhi Qi Jifeng Dai Xiangyang Ji Yichen Wei ISeg SSeg 70 1,004 0 23 Nov 2016
Memory-Efficient Backpropagation Through Time A. Gruslys Rémi Munos Ivo Danihelka Marc Lanctot Alex Graves 49 228 0 10 Jun 2016
ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation Francesco Visin Marco Ciccone Adriana Romero Kyle Kastner Kyunghyun Cho Yoshua Bengio Matteo Matteucci Aaron Courville VLM SSeg 38 251 0 22 Nov 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 778 15,718 0 02 Nov 2015
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 471 7,952 0 13 Jun 2015
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 327 15,825 0 12 Nov 2013