今日CS.CV計算機視覺論文速覽
Mon, 3 Dec 2018
Totally 41 papers

Interesting:

• Semantic Sub-style Transfer提出了一種新的風格遷移方法，將風格分為多個子模組，更好地描述風格的細節（或使用不同的細節及其組合）。其優勢在於：可以在一副影象中得到廣泛的風格表示，自動化的為內容影象不同區域匹配不同的子風格，檢測並使用現存方法的子風格。(from Aristotle University)
  

內容和風格的解構：

結果：

• L3C,提出了第一個實用化的學習無損影象壓縮系統，其核心在於應用了完全並行化的分層概率模型，自適應熵編碼，優化了端到端的壓縮任務。影象分佈於輔助表示聯合，只需要三個前向通道來預測所有畫素。（from 蘇黎世理工）
  

  
  其中E為抽取器、Q為量化器、z為層級特徵表示，其與影象的聯合概率分佈利用了D來描述。f總結slevel上的了資訊。詳細如下圖所示：
  

• 基於影象自適應CNN去噪器的超分辨, 在test時利用了內部學習和泛化訓練資料的方法來解決訓練資料和真實資料不匹配的問題。Plug-and-play方法是一種解決的手段，另一種方法是訓練單張圖片中的迴歸資訊來實現，這篇文章結合了p&P方法以及影象自適應的方法來實現超分辨(from 特拉維夫大學)
  

• 從單張圖片中學習出多種光照情況，這以工作可以分離出單張影象中不同光譜情況下的場景，並生成兩幅新的在不同光照下的圖（實現了shading和shadow）。

通過訓練DNN對每一個畫素預測場景的反射色度，並結合前述的基於影象的演算法來生成最後的輸出。通過ChromNet預測反射色度、shadingNet預測陰影，分離網路實現最後輸出。（from CMU 華盛頓大學 Adobe）

反射色度神經網路結合了成像過程中的物理原理。

• [輕量級影象超分辨],基於塊狀態的迴歸網路最大化迴歸結構的作用來減少網路引數。通過block stack可以追蹤當前特徵的狀態，在模型大小、效率和速度上 都有了明顯提升。(from 延世大學)
  code
  
  RRB的結構和網路表現，其中包含了status層記錄狀態。：
  

• PressNET ，利用視訊中抽取的人體姿態25關節點來預測足底壓力分佈(from 賓大）
  

  
  基於足底壓力的穩定分析：
  

• 利用轉導深度遷移學習架構實現跨資料集的非正臉表情識別（from 東南大學）
  

• 提出了一種獲取全域性rank配置的高效神經網路壓縮方法（SVD-Based），並提出了新的度量神經網路精度和複雜度相關性的方式 （from KAIST）。
  
  結合空間生成和目標複雜度：
  

• 基於Faster R-CNN的手語識別 (from 阿赫薩努拉科技大學)
  

• 卷積層隱含層濾波器的稀疏性,實驗主要發現了以下觀點：正則化時沒有稀疏性、隨著L2或者權重衰減稀疏性增加；自適應方法（Adam,Adagrad,Adadelta）比SGD學習更稀疏的表示；對於Adam，L2比權重衰減的稀疏性更高。(from MPI, 巴斯大學 Saarland Informatics Campus)
  

• Projection Convolutional Neural Networks (PCNNs),通過投射離散的方向傳播來改善二進位制網路的效能。利用投影函式解決離散bp問題，探索了多種投影過程，學習了一系列量化核壓縮。(from 北航)
  
  lab:http://mpl.buaa.edu.cn/people.htm

• DeepFlux,提出了一種基於流的骨架檢測方法，通過訓練CNN 預測二維向量場，並對映到對應的骨架畫素上，具有編碼清晰、語義資訊明確和region-based的優點。（from 華中科技 多倫多大學 & McGill U）
  網路模型如下所示：
  
  
  結果：
  

Daily Computer Vision Papers

[1] Title: Super-Resolution based on Image-Adapted CNN Denoisers: Incorporating Generalization of Training Data and Internal Learning in Test Time
Authors:Tom Tirer, Raja Giryes
[2] Title: ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
Authors:Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Mathieu Cord, Patrick Pérez
[3] Title: Practical Full Resolution Learned Lossless Image Compression
Authors:Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool
[4] Title: Graph-Based Global Reasoning Networks
Authors:Yunpeng Chen, Marcus Rohrbach, Zhicheng Yan, Shuicheng Yan, Jiashi Feng, Yannis Kalantidis
[5] Title: Real Time Bangladeshi Sign Language Detection using Faster R-CNN
Authors:Oishee Bintey Hoque, Mohammad Imrul Jubair, Md. Saiful Islam, Al-Farabi Akash, Alvin Sachie Paulson
[6] Title: Structure and Motion from Multiframes
Authors:Mieczysław A. Kłopotek
[7] Title: iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network
Authors:Guilherme Aresta, Colin Jacobs, Teresa Araújo, António Cunha, Isabel Ramos, Bram van Ginneken, Aurélio Campilho
[8] Title: TextMountain: Accurate Scene Text Detection via Instance Segmentation
Authors:Yixing Zhu, Jun Du
[9] Title: The GAN that Warped: Semantic Attribute Editing with Unpaired Data
Authors:Garoe Dorta, Sara Vicente, Neill D.F. Campbell, Ivor Simpson
[10] Title: A Framework for Fast and Efficient Neural Network Compression
Authors:Hyeji Kim, Muhammad Umar Karim, Chong-Min Kyung
[11] Title: Cross-database non-frontal facial expression recognition based on transductive deep transfer learning
Authors:Keyu Yan (1 and 2)Wenming Zheng (1 and 2), Tong Zhang (1 and 2), Yuan Zong (1), Zhen Cui (3) ((1) the Key Laboratory of Child Development and Learning Science of Ministry of Education, and the Department of Information Science and Engineering, Southeast University, China. (2) the Key Laboratory of Child Development and Learning Science of Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing, Jiangsu, China. (3) School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China)
[12] Title: From Known to the Unknown: Transferring Knowledge to Answer Questions about Novel Visual and Semantic Concepts
Authors:Moshiur R Farazi, Salman H Khan, Nick Barnes
[13] Title: Model-blind Video Denoising Via Frame-to-frame Training
Authors:Thibaud Ehret, Axel Davy, Gabriele Facciolo, Jean-Michel Morel, Pablo Arias
[14] Title: Non-Local Video Denoising by CNN
Authors:Axel Davy, Thibaud Ehret, Gabriele Facciolo, Jean-Michel Morel, Pablo Arias
[15] Title: Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation
Authors:Jiaxin Gu, Ce Li, Baochang Zhang, Jungong Han, Xianbin Cao, Jianzhuang Liu, David Doermann
[16] Title: Domain-Invariant Adversarial Learning for Unsupervised Domain Adaption
Authors:Yexun Zhang, Ya Zhang, Yanfeng Wang, Qi Tian
[17] Title: Improving Landmark Recognition using Saliency detection and Feature classification
Authors:Akash Kumar, Sagnik Bhowmick, N. Jayanthi, S. Indu
[18] Title: Evaluating Bayesian Deep Learning Methods for Semantic Segmentation
Authors:Jishnu Mukhoti, Yarin Gal
[19] Title: Style Decomposition for Improved Neural Style Transfer
Authors:Paraskevas Pegios, Nikolaos Passalis, Anastasios Tefas
[20] Title: An Efficient Image Retrieval Based on Fusion of Low-Level Visual Features
Authors:Atif Nazir, Kashif Nazir
[21] Title: ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples
Authors:Xiaojun Jia, Xingxing Wei, Xiaochun Cao, Hassan Foroosh
[22] Title: Instance-level Facial Attributes Transfer with Geometry-Aware Flow
Authors:Weidong Yin, Ziwei Liu, Chen Change Loy
[23] Title: FSNet: An Identity-Aware Generative Model for Image-based Face Swapping
Authors:Ryota Natsume, Tatsuya Yatagawa, Shigeo Morishima
[24] Title: Making Classification Competitive for Deep Metric Learning
Authors:Andrew Zhai, Hao-Yu Wu
[25] Title: Transferable Adversarial Attacks for Image and Video Object Detection
Authors:Xingxing Wei, Siyuan Liang, Xiaochun Cao, Jun Zhu
[26] Title: Towards Robust Lung Segmentation in Chest Radiographs with Deep Learning
Authors:Jyoti Islam, Yanqing Zhang
[27] Title: Virtual Class Enhanced Discriminative Embedding Learning
Authors:Binghui Chen, Weihong Deng, Haifeng Shen
[28] Title: DeepFlux for Skeletons in the Wild
Authors:Yukang Wang, Yongchao Xu, Stavros Tsogkas, Xiang Bai, Sven Dickinson, Kaleem Siddiqi
[29] Title: Foot Pressure from Video: A Deep Learning Approach to Predict Dynamics from Kinematics
Authors:Savinay Nagendra, Christopher Funk, Robert T. Collins, Yanxi Liu
[30] Title: Parsing R-CNN for Instance-Level Human Analysis
Authors:Lu Yang, Qing Song, Zhihui Wang, Ming Jiang
[31] Title: Deep Multimodal Learning: An Effective Method for Video Classification
Authors:Tianqi Zhao
[32] Title: Lightweight and Efficient Image Super-Resolution with Block State-based Recursive Network
Authors:Jun-Ho Choi, Jun-Hyuk Kim, Manri Cheon, Jong-Seok Lee
[33] Title: 3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training
Authors:Yingda Xia, Fengze Liu, Dong Yang, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan Yuille, Holger Roth
[34] Title: Playing Soccer without Colors in the SPL: A Convolutional Neural Network Approach
Authors:Francisco Leiva, Nicolás Cruz, Ignacio Bugueño, Javier Ruiz-del-Solar
[35] Title: Leveraging Deep Stein’s Unbiased Risk Estimator for Unsupervised X-ray Denoising
Authors:Fahad Shamshad, Muhammad Awais, Muhammad Asim, Zain ul Aabidin Lodhi, Muhammad Umair, Ali Ahmed
[36] Title: Learning to Separate Multiple Illuminants in a Single Image
Authors:Zhuo Hui, Ayan Chakrabarti, Kalyan Sunkavalli, Aswin C. Sankaranarayanan
[37] Title: Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models
Authors:Daniel Ritchie, Kai Wang, Yu-an Lin
[38] Title: AdaFrame: Adaptive Frame Selection for Fast Video Recognition
Authors:Zuxuan Wu, Caiming Xiong, Chih-Yao Ma, Richard Socher, Larry S. Davis
[39] Title: Void Filling of Digital Elevation Models with Deep Generative Models
Authors:Konstantinos Gavriil, Georg Muntingh, Oliver J. D. Barrowclough
[40] Title: Are All Training Examples Created Equal? An Empirical Study
Authors:Kailas Vodrahalli, Ke Li, Jitendra Malik
[41] Title: On Implicit Filter Level Sparsity in Convolutional Neural Networks
Authors:Dushyant Mehta, Kwang In Kim, Christian Theobalt

Papers from arxiv.org

pic from pixels.com