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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24,121 to 24,180 of 27,479
A Short Note on the Kinetics-700-2020 Human Action Dataset
Lucas Smaira, João Carreira, Eric Noland +3
cs.CVcs.LGarXiv:2010.10864v12020Use HiResCAM instead of Grad-CAM for faithful explanations of convolutional neural networks
Rachel Lea Draelos, Lawrence Carin
eess.IVcs.CVcs.LGarXiv:2011.08891v42020RoNIN: Robust Neural Inertial Navigation in the Wild: Benchmark, Evaluations, and New Methods
Hang Yan, Sachini Herath, Yasutaka Furukawa
cs.CVcs.ROarXiv:1905.12853v12019Editing in Style: Uncovering the Local Semantics of GANs
Edo Collins, Raja Bala, Bob Price +1
cs.CVcs.LGarXiv:2004.14367v22020Refining activation downsampling with SoftPool
Alexandros Stergiou, Ronald Poppe, Grigorios Kalliatakis
cs.CVarXiv:2101.00440v32021FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification
Zhuo Zheng, Yanfei Zhong, Ailong Ma +1
cs.CVeess.IVarXiv:2011.05670v12020Network Pruning via Transformable Architecture Search
Xuanyi Dong, Yi Yang
cs.CVarXiv:1905.09717v52019Ultra Fast Structure-aware Deep Lane Detection
Zequn Qin, Huanyu Wang, Xi Li
cs.CVarXiv:2004.11757v42020Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification
Siyuan Cheng, Yingqi Liu, Shiqing Ma +1
cs.LGcs.CVarXiv:2012.11212v22020Multi-Task Multi-Sensor Fusion for 3D Object Detection
Ming Liang, Bin Yang, Yun Chen +2
cs.CVarXiv:2012.12397v12020RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification
Shujun Wang, Yaxi Zhu, Lequan Yu +5
cs.CVarXiv:2010.06440v12020Learning Individual Speaking Styles for Accurate Lip to Speech Synthesis
K R Prajwal, Rudrabha Mukhopadhyay, Vinay Namboodiri +1
cs.CVcs.LGcs.SDarXiv:2005.08209v12020Unsupervised Pre-training for Person Re-identification
Dengpan Fu, Dongdong Chen, Jianmin Bao +5
cs.CVarXiv:2012.03753v22020DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation
Debesh Jha, Michael A. Riegler, Dag Johansen +2
eess.IVcs.CVarXiv:2006.04868v22020Robust Consistent Video Depth Estimation
Johannes Kopf, Xuejian Rong, Jia-Bin Huang
cs.CVarXiv:2012.05901v22020KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain Knowledge-Based VQA
Kenneth Marino, Xinlei Chen, Devi Parikh +2
cs.CVcs.CLarXiv:2012.11014v12020Asking like Socrates: Socrates helps VLMs understand remote sensing images
Run Shao, Ziyu Li, Zhaoyang Zhang +9
cs.CVcs.AIarXiv:2511.22396v22025Multiresolution Knowledge Distillation for Anomaly Detection
Mohammadreza Salehi, Niousha Sadjadi, Soroosh Baselizadeh +2
cs.CVarXiv:2011.11108v12020Regularizing Class-wise Predictions via Self-knowledge Distillation
Sukmin Yun, Jongjin Park, Kimin Lee +1
cs.LGcs.CVstat.MLarXiv:2003.13964v22020DE-GAN: A Conditional Generative Adversarial Network for Document Enhancement
Mohamed Ali Souibgui, Yousri Kessentini
cs.CVarXiv:2010.08764v12020Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets
Daniel Haase, Manuel Amthor
cs.CVarXiv:2003.13549v32020MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis
Jiancheng Yang, Rui Shi, Bingbing Ni
cs.CVcs.AIcs.LGarXiv:2010.14925v42020RESA: Recurrent Feature-Shift Aggregator for Lane Detection
Tu Zheng, Hao Fang, Yi Zhang +4
cs.CVarXiv:2008.13719v22020Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things
Jing Zhang, Dacheng Tao
cs.AIcs.CVcs.LGarXiv:2011.08612v12020Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis
Daniel Seichter, Mona Köhler, Benjamin Lewandowski +2
cs.CVcs.LGcs.ROarXiv:2011.06961v32020Lift, Splat, Shoot: Encoding Images From Arbitrary Camera Rigs by Implicitly Unprojecting to 3D
Jonah Philion, Sanja Fidler
cs.CVarXiv:2008.05711v12020Automatic adaptation of object detectors to new domains using self-training
Aruni RoyChowdhury, Prithvijit Chakrabarty, Ashish Singh +4
cs.CVcs.LGarXiv:1904.07305v12019Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time
Hui Zeng, Jianrui Cai, Lida Li +2
eess.IVcs.CVarXiv:2009.14468v12020Whole Slide Images based Cancer Survival Prediction using Attention Guided Deep Multiple Instance Learning Networks
Jiawen Yao, Xinliang Zhu, Jitendra Jonnagaddala +2
eess.IVcs.CVarXiv:2009.11169v12020Image and Video Compression with Neural Networks: A Review
Siwei Ma, Xinfeng Zhang, Chuanmin Jia +3
cs.CVarXiv:1904.03567v22019ETH-XGaze: A Large Scale Dataset for Gaze Estimation under Extreme Head Pose and Gaze Variation
Xucong Zhang, Seonwook Park, Thabo Beeler +3
cs.CVarXiv:2007.15837v12020YOLACT: Real-time Instance Segmentation
Daniel Bolya, Chong Zhou, Fanyi Xiao +1
cs.CVarXiv:1904.02689v22019Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study
Christoph Baur, Stefan Denner, Benedikt Wiestler +2
eess.IVcs.CVcs.LGarXiv:2004.03271v22020A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
Zewen Li, Wenjie Yang, Shouheng Peng +1
cs.CVcs.LGeess.IVarXiv:2004.02806v12020A Critic Evaluation of Methods for COVID-19 Automatic Detection from X-Ray Images
Gianluca Maguolo, Loris Nanni
eess.IVcs.CVcs.LGarXiv:2004.12823v42020PP-YOLO: An Effective and Efficient Implementation of Object Detector
Xiang Long, Kaipeng Deng, Guanzhong Wang +8
cs.CVarXiv:2007.12099v32020COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest CT Images
Hayden Gunraj, Linda Wang, Alexander Wong
eess.IVcs.CVcs.LGarXiv:2009.05383v12020Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense
Yixin Zhu, Tao Gao, Lifeng Fan +9
cs.AIcs.CVcs.LGarXiv:2004.09044v12020Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation
Cheng Ma, Zhenyu Jiang, Yongming Rao +2
cs.CVarXiv:2003.13063v12020SpaceNet 6: Multi-Sensor All Weather Mapping Dataset
Jacob Shermeyer, Daniel Hogan, Jason Brown +8
eess.IVcs.CVarXiv:2004.06500v12020BSL-1K: Scaling up co-articulated sign language recognition using mouthing cues
Samuel Albanie, Gül Varol, Liliane Momeni +4
cs.CVarXiv:2007.12131v22020RGB-D Salient Object Detection with Cross-Modality Modulation and Selection
Chongyi Li, Runmin Cong, Yongri Piao +2
cs.CVarXiv:2007.07051v12020CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification
Zheng Tang, Milind Naphade, Ming-Yu Liu +6
cs.CVarXiv:1903.09254v42019SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness
Philipp Terhörst, Jan Niklas Kolf, Naser Damer +2
cs.CVarXiv:2003.09373v12020On Robustness and Transferability of Convolutional Neural Networks
Josip Djolonga, Jessica Yung, Michael Tschannen +11
cs.CVcs.LGarXiv:2007.08558v22020Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-grained Image Recognition
Heliang Zheng, Jianlong Fu, Zheng-Jun Zha +1
cs.CVarXiv:1903.06150v22019Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
Elad Richardson, Yuval Alaluf, Or Patashnik +4
cs.CVarXiv:2008.00951v22020Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications
Ming-Yu Liu, Xun Huang, Jiahui Yu +2
cs.CVarXiv:2008.02793v22020HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching
Vladimir Tankovich, Christian Häne, Yinda Zhang +3
cs.CVarXiv:2007.12140v52020Goal-GAN: Multimodal Trajectory Prediction Based on Goal Position Estimation
Patrick Dendorfer, Aljoša Ošep, Laura Leal-Taixé
cs.CVarXiv:2010.01114v12020MADGAN: unsupervised Medical Anomaly Detection GAN using multiple adjacent brain MRI slice reconstruction
Changhee Han, Leonardo Rundo, Kohei Murao +7
cs.CVcs.LGeess.IVarXiv:2007.13559v22020DPOD: 6D Pose Object Detector and Refiner
Sergey Zakharov, Ivan Shugurov, Slobodan Ilic
cs.CVcs.ROarXiv:1902.11020v32019Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation
Taekyung Kim, Changick Kim
cs.CVarXiv:2007.09375v12020Feature-metric Loss for Self-supervised Learning of Depth and Egomotion
Chang Shu, Kun Yu, Zhixiang Duan +1
cs.CVarXiv:2007.10603v12020PraNet: Parallel Reverse Attention Network for Polyp Segmentation
Deng-Ping Fan, Ge-Peng Ji, Tao Zhou +4
eess.IVcs.CVarXiv:2006.11392v42020Evolving Losses for Unsupervised Video Representation Learning
AJ Piergiovanni, Anelia Angelova, Michael S. Ryoo
cs.CVcs.LGarXiv:2002.12177v12020Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey
Longlong Jing, Yingli Tian
cs.CVarXiv:1902.06162v12019Alleviating Over-segmentation Errors by Detecting Action Boundaries
Yuchi Ishikawa, Seito Kasai, Yoshimitsu Aoki +1
cs.CVarXiv:2007.06866v12020Joint Visual and Temporal Consistency for Unsupervised Domain Adaptive Person Re-Identification
Jianing Li, Shiliang Zhang
cs.CVarXiv:2007.10854v12020Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges
Qingyong Hu, Bo Yang, Sheikh Khalid +3
cs.CVcs.AIcs.ROarXiv:2009.03137v32020