AnchorNet: A Weakly Supervised Network to Learn Geometry-sensitive Features For Semantic Matching

16 April 2017

Andrea Vedaldi

Papers citing "AnchorNet: A Weakly Supervised Network to Learn Geometry-sensitive Features For Semantic Matching"

26 / 26 papers shown

Title
Depth Extraction from Video Using Non-parametric Sampling Kevin Karsch Ce Liu S. B. Kang MDE 115 145 0 24 Dec 2019
Self-supervised Learning of Geometrically Stable Features Through Probabilistic Introspection David Novotny Samuel Albanie Diane Larlus Andrea Vedaldi SSL 81 65 0 04 Apr 2018
Fully-Trainable Deep Matching James Thewlis Shuai Zheng Philip Torr Andrea Vedaldi 3DV 54 42 0 12 Sep 2016
Universal Correspondence Network Chris Choy JunYoung Gwak Silvio Savarese Manmohan Chandraker 53 369 0 11 Jun 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 666 37,806 0 20 May 2016
WarpNet: Weakly Supervised Matching for Single-view Reconstruction Angjoo Kanazawa David Jacobs Manmohan Chandraker 48 160 0 19 Apr 2016
Learning Dense Correspondence via 3D-guided Cycle Consistency Tinghui Zhou Philipp Krahenbuhl Mathieu Aubry Qi-Xing Huang Alexei A. Efros 130 389 0 18 Apr 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.1K 193,426 0 10 Dec 2015
Proposal Flow Bumsub Ham Minsu Cho Cordelia Schmid Jean Ponce 55 140 0 16 Nov 2015
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches Jure Zbontar Yann LeCun 3DV 134 1,385 0 20 Oct 2015
Dense Semantic Correspondence where Every Pixel is a Classifier H. Bristow Jack Valmadre Simon Lucey 49 56 0 15 May 2015
VQA: Visual Question Answering Aishwarya Agrawal Jiasen Lu Stanislaw Antol Margaret Mitchell C. L. Zitnick Dhruv Batra Devi Parikh CoGe 184 5,452 0 03 May 2015
Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks Marcel Simon E. Rodner 67 412 0 30 Apr 2015
Fast R-CNN Ross B. Girshick ObjD 290 25,033 0 30 Apr 2015
FlowNet: Learning Optical Flow with Convolutional Networks Philipp Fischer Alexey Dosovitskiy Eddy Ilg Philip Häusser C. Hazirbas Vladimir Golkov Patrick van der Smagt Daniel Cremers Thomas Brox 3DPC 302 4,172 0 26 Apr 2015
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 311 2,946 0 15 Dec 2014
Deep convolutional filter banks for texture recognition and segmentation Mircea Cimpoi Subhransu Maji Andrea Vedaldi 3DV 59 54 0 25 Nov 2014
Viewpoints and Keypoints Shubham Tulsiani Jitendra Malik 74 398 0 22 Nov 2014
Hypercolumns for Object Segmentation and Fine-grained Localization Bharath Hariharan Pablo Arbeláez Ross B. Girshick Jitendra Malik SSeg 128 1,594 0 21 Nov 2014
Show and Tell: A Neural Image Caption Generator Oriol Vinyals Alexander Toshev Samy Bengio D. Erhan 3DV 227 6,018 0 17 Nov 2014
Do Convnets Learn Correspondence? Jonathan Long Ning Zhang Trevor Darrell 81 311 0 04 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.5K 100,213 0 04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.6K 39,472 0 01 Sep 2014
Dense Correspondences Across Scenes and Scales Moria Tau Tal Hassner 3DV 49 41 0 24 Jun 2014
Detect What You Can: Detecting and Representing Objects using Holistic Models and Body Parts Xianjie Chen Roozbeh Mottaghi Xiaobai Liu Sanja Fidler R. Urtasun Alan Yuille 96 640 0 08 Jun 2014
Marginalized Denoising Autoencoders for Domain Adaptation Minmin Chen Z. Xu Kilian Q. Weinberger Fei Sha 102 817 0 18 Jun 2012