Computer Vision and Pattern Recognition

Papers filed under cs.CV on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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25,141 to 25,200 of 27,330

Towards Deep Neural Network Architectures Robust to Adversarial Examples
Shixiang Gu, Luca Rigazio
cs.LGcs.CVcs.NEarXiv:1412.5068v42014
Panoptic Feature Pyramid Networks
Alexander Kirillov, Ross Girshick, Kaiming He +1
cs.CVarXiv:1901.02446v22019
Visual7W: Grounded Question Answering in Images
Yuke Zhu, Oliver Groth, Michael Bernstein +1
cs.CVcs.LGcs.NEarXiv:1511.03416v42015
FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation
Xiang Li, Tianhan Wei, Yau Pun Chen +2
cs.CVarXiv:1907.12347v22019
Embedding Label Structures for Fine-Grained Feature Representation
Xiaofan Zhang, Feng Zhou, Yuanqing Lin +1
cs.CVarXiv:1512.02895v22015
DensePhysNet: Learning Dense Physical Object Representations via Multi-step Dynamic Interactions
Zhenjia Xu, Jiajun Wu, Andy Zeng +2
cs.ROcs.AIcs.CVarXiv:1906.03853v22019
MID-Fusion: Octree-based Object-Level Multi-Instance Dynamic SLAM
Binbin Xu, Wenbin Li, Dimos Tzoumanikas +3
cs.ROcs.CVarXiv:1812.07976v42018
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke +1
cs.CVarXiv:1602.07261v22016
Webly Supervised Learning of Convolutional Networks
Xinlei Chen, Abhinav Gupta
cs.CVarXiv:1505.01554v22015
Scale-Aware Trident Networks for Object Detection
Yanghao Li, Yuntao Chen, Naiyan Wang +1
cs.CVarXiv:1901.01892v22019
A Large-Scale Car Dataset for Fine-Grained Categorization and Verification
Linjie Yang, Ping Luo, Chen Change Loy +1
cs.CVcs.AIarXiv:1506.08959v22015
Deep-Plant: Plant Identification with convolutional neural networks
Sue Han Lee, Chee Seng Chan, Paul Wilkin +1
cs.CVcs.AIcs.NEarXiv:1506.08425v12015
Towards Open Set Deep Networks
Abhijit Bendale, Terrance Boult
cs.CVcs.LGarXiv:1511.06233v12015
Detailed Human Shape Estimation from a Single Image by Hierarchical Mesh Deformation
Hao Zhu, Xinxin Zuo, Sen Wang +2
cs.CVeess.IVarXiv:1904.10506v22019
Learning to Compare Image Patches via Convolutional Neural Networks
Sergey Zagoruyko, Nikos Komodakis
cs.CVcs.LGcs.NEarXiv:1504.03641v12015
Attentive Single-Tasking of Multiple Tasks
Kevis-Kokitsi Maninis, Ilija Radosavovic, Iasonas Kokkinos
cs.CVarXiv:1904.08918v12019
Robust Image Sentiment Analysis Using Progressively Trained and Domain Transferred Deep Networks
Quanzeng You, Jiebo Luo, Hailin Jin +1
cs.CVcs.IRcs.LGarXiv:1509.06041v12015
Towards Better Exploiting Convolutional Neural Networks for Remote Sensing Scene Classification
Keiller Nogueira, Otávio A. B. Penatti, Jefersson A. dos Santos
cs.CVarXiv:1602.01517v12016
EmoNets: Multimodal deep learning approaches for emotion recognition in video
Samira Ebrahimi Kahou, Xavier Bouthillier, Pascal Lamblin +15
cs.LGcs.CVarXiv:1503.01800v22015
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren +1
cs.CVarXiv:1406.4729v42014
Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures
Raffaella Bernardi, Ruket Cakici, Desmond Elliott +6
cs.CLcs.CVarXiv:1601.03896v22016
On instabilities of deep learning in image reconstruction - Does AI come at a cost?
Vegard Antun, Francesco Renna, Clarice Poon +2
cs.CVarXiv:1902.05300v12019
Effects of Degradations on Deep Neural Network Architectures
Prasun Roy, Subhankar Ghosh, Saumik Bhattacharya +1
cs.CVeess.IVarXiv:1807.10108v62018
Learning Deconvolution Network for Semantic Segmentation
Hyeonwoo Noh, Seunghoon Hong, Bohyung Han
cs.CVarXiv:1505.04366v12015
The Secrets of Salient Object Segmentation
Yin Li, Xiaodi Hou, Christof Koch +2
cs.CVarXiv:1406.2807v22014
Multi-view Convolutional Neural Networks for 3D Shape Recognition
Hang Su, Subhransu Maji, Evangelos Kalogerakis +1
cs.CVcs.GRarXiv:1505.00880v32015
Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis
Jimei Yang, Scott Reed, Ming-Hsuan Yang +1
cs.LGcs.AIcs.CVarXiv:1601.00706v12016
Deep Ranking for Person Re-identification via Joint Representation Learning
Shi-Zhe Chen, Chun-Chao Guo, Jian-Huang Lai
cs.CVarXiv:1505.06821v22015
Weakly Supervised Object Localization with Multi-fold Multiple Instance Learning
Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid
cs.CVarXiv:1503.00949v32015
Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images
Shuran Song, Jianxiong Xiao
cs.CVarXiv:1511.02300v22015
Fully Convolutional Siamese Networks for Change Detection
Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch
cs.CVcs.LGarXiv:1810.08462v12018
Cryo-CARE: Content-Aware Image Restoration for Cryo-Transmission Electron Microscopy Data
Tim-Oliver Buchholz, Mareike Jordan, Gaia Pigino +1
cs.CVcs.LGarXiv:1810.05420v22018
Learning Implicit Fields for Generative Shape Modeling
Zhiqin Chen, Hao Zhang
cs.GRcs.CVcs.LGarXiv:1812.02822v52018
DeepBox: Learning Objectness with Convolutional Networks
Weicheng Kuo, Bharath Hariharan, Jitendra Malik
cs.CVarXiv:1505.02146v22015
WIDER FACE: A Face Detection Benchmark
Shuo Yang, Ping Luo, Chen Change Loy +1
cs.CVarXiv:1511.06523v12015
Learning to Generate Images with Perceptual Similarity Metrics
Jake Snell, Karl Ridgeway, Renjie Liao +3
cs.LGcs.CVarXiv:1511.06409v32015
Dense Human Body Correspondences Using Convolutional Networks
Lingyu Wei, Qixing Huang, Duygu Ceylan +2
cs.CVcs.GRarXiv:1511.05904v22015
Simultaneous Feature Learning and Hash Coding with Deep Neural Networks
Hanjiang Lai, Yan Pan, Ye Liu +1
cs.CVarXiv:1504.03410v12015
Image-based Recommendations on Styles and Substitutes
Julian McAuley, Christopher Targett, Qinfeng Shi +1
cs.CVcs.IRarXiv:1506.04757v12015
Unsupervised Learning of Video Representations using LSTMs
Nitish Srivastava, Elman Mansimov, Ruslan Salakhutdinov
cs.LGcs.CVcs.NEarXiv:1502.04681v32015
Exploring Nearest Neighbor Approaches for Image Captioning
Jacob Devlin, Saurabh Gupta, Ross Girshick +2
cs.CVarXiv:1505.04467v12015
Beyond Short Snippets: Deep Networks for Video Classification
Joe Yue-Hei Ng, Matthew Hausknecht, Sudheendra Vijayanarasimhan +3
cs.CVarXiv:1503.08909v22015
Oriented Edge Forests for Boundary Detection
Sam Hallman, Charless C. Fowlkes
cs.CVarXiv:1412.4181v22014
Rotation-invariant convolutional neural networks for galaxy morphology prediction
Sander Dieleman, Kyle W. Willett, Joni Dambre
astro-ph.IMastro-ph.GAcs.CVarXiv:1503.07077v12015
An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition
Baoguang Shi, Xiang Bai, Cong Yao
cs.CVarXiv:1507.05717v12015
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation
Jifeng Dai, Kaiming He, Jian Sun
cs.CVarXiv:1503.01640v22015
Objects2action: Classifying and localizing actions without any video example
Mihir Jain, Jan C. van Gemert, Thomas Mensink +1
cs.CVarXiv:1510.06939v12015
Segmentation of Liver Lesions with Reduced Complexity Deep Models
Ram Krishna Pandey, Aswin Vasan, A G Ramakrishnan
cs.CVarXiv:1805.09233v12018
CNN: Single-label to Multi-label
Yunchao Wei, Wei Xia, Junshi Huang +4
cs.CVarXiv:1406.5726v32014
Do Convnets Learn Correspondence?
Jonathan Long, Ning Zhang, Trevor Darrell
cs.CVcs.LGcs.NEarXiv:1411.1091v12014
Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars
Ana I. Maqueda, Antonio Loquercio, Guillermo Gallego +2
cs.CVcs.LGcs.ROarXiv:1804.01310v12018
Appearance-Based Gaze Estimation in the Wild
Xucong Zhang, Yusuke Sugano, Mario Fritz +1
cs.CVarXiv:1504.02863v12015
FlowNet: Learning Optical Flow with Convolutional Networks
Philipp Fischer, Alexey Dosovitskiy, Eddy Ilg +6
cs.CVcs.LGarXiv:1504.06852v22015
Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images
Alexander Krull, Eric Brachmann, Frank Michel +3
cs.CVarXiv:1508.04546v12015
Exploring Models and Data for Image Question Answering
Mengye Ren, Ryan Kiros, Richard Zemel
cs.LGcs.AIcs.CLarXiv:1505.02074v42015
Transferring Rich Feature Hierarchies for Robust Visual Tracking
Naiyan Wang, Siyi Li, Abhinav Gupta +1
cs.CVcs.NEarXiv:1501.04587v22015
Convolutional Feature Masking for Joint Object and Stuff Segmentation
Jifeng Dai, Kaiming He, Jian Sun
cs.CVarXiv:1412.1283v42014
Look into Person: Joint Body Parsing & Pose Estimation Network and A New Benchmark
Xiaodan Liang, Ke Gong, Xiaohui Shen +1
cs.CVarXiv:1804.01984v12018
Rotation-Sensitive Regression for Oriented Scene Text Detection
Minghui Liao, Zhen Zhu, Baoguang Shi +2
cs.CVarXiv:1803.05265v12018
Functional Map of the World
Gordon Christie, Neil Fendley, James Wilson +1
cs.CVarXiv:1711.07846v32017

Computer Vision and Pattern Recognition

Towards Deep Neural Network Architectures Robust to Adversarial Examples

Panoptic Feature Pyramid Networks

Visual7W: Grounded Question Answering in Images

FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation

Embedding Label Structures for Fine-Grained Feature Representation

DensePhysNet: Learning Dense Physical Object Representations via Multi-step Dynamic Interactions

MID-Fusion: Octree-based Object-Level Multi-Instance Dynamic SLAM

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

Webly Supervised Learning of Convolutional Networks

Scale-Aware Trident Networks for Object Detection

A Large-Scale Car Dataset for Fine-Grained Categorization and Verification

Deep-Plant: Plant Identification with convolutional neural networks

Towards Open Set Deep Networks

Detailed Human Shape Estimation from a Single Image by Hierarchical Mesh Deformation

Learning to Compare Image Patches via Convolutional Neural Networks

Attentive Single-Tasking of Multiple Tasks

Robust Image Sentiment Analysis Using Progressively Trained and Domain Transferred Deep Networks

Towards Better Exploiting Convolutional Neural Networks for Remote Sensing Scene Classification

EmoNets: Multimodal deep learning approaches for emotion recognition in video

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures

On instabilities of deep learning in image reconstruction - Does AI come at a cost?

Effects of Degradations on Deep Neural Network Architectures

Learning Deconvolution Network for Semantic Segmentation

The Secrets of Salient Object Segmentation

Multi-view Convolutional Neural Networks for 3D Shape Recognition

Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis

Deep Ranking for Person Re-identification via Joint Representation Learning

Weakly Supervised Object Localization with Multi-fold Multiple Instance Learning

Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images

Fully Convolutional Siamese Networks for Change Detection

Cryo-CARE: Content-Aware Image Restoration for Cryo-Transmission Electron Microscopy Data

Learning Implicit Fields for Generative Shape Modeling

DeepBox: Learning Objectness with Convolutional Networks

WIDER FACE: A Face Detection Benchmark

Learning to Generate Images with Perceptual Similarity Metrics

Dense Human Body Correspondences Using Convolutional Networks

Simultaneous Feature Learning and Hash Coding with Deep Neural Networks

Image-based Recommendations on Styles and Substitutes

Unsupervised Learning of Video Representations using LSTMs

Exploring Nearest Neighbor Approaches for Image Captioning

Beyond Short Snippets: Deep Networks for Video Classification

Oriented Edge Forests for Boundary Detection

Rotation-invariant convolutional neural networks for galaxy morphology prediction

An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition

BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation

Objects2action: Classifying and localizing actions without any video example

Segmentation of Liver Lesions with Reduced Complexity Deep Models

CNN: Single-label to Multi-label

Do Convnets Learn Correspondence?

Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars

Appearance-Based Gaze Estimation in the Wild

FlowNet: Learning Optical Flow with Convolutional Networks

Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images

Exploring Models and Data for Image Question Answering

Transferring Rich Feature Hierarchies for Robust Visual Tracking

Convolutional Feature Masking for Joint Object and Stuff Segmentation

Look into Person: Joint Body Parsing & Pose Estimation Network and A New Benchmark

Rotation-Sensitive Regression for Oriented Scene Text Detection

Functional Map of the World