WACV20: Oral 2B: Object Recognition 1 скачать в хорошем качестве

WACV20: Oral 2B: Object Recognition 1

00:00 raining with Noise Adversarial Network: A Generalization Method for Object Detection onSonar Image Qixiang Ma *; Longyu Jiang ; Wenxue Yu ; Rui Jin ; Zhixiang Wu ; Xu Fangjin (Southeast Univ) 03:02 Active Adversarial Domain Adaptation Jong-Chyi Su (University of Massachusetts, Amherst)*; Yi-Hsuan Tsai (NEC Labs America); Kihyuk Sohn (Google); Buyu Liu (NEC Labs); Subhransu Maji (Univ of Massachusetts, Amherst); Manmohan Chandraker (UCSD) 06:10 Progressive Domain Adaptation for Object Detection Han-Kai Hsu (UC - Merced); Chun-Han Yao (UC Merced); Yi-Hsuan Tsai (NEC Labs America)*; Wei-Chih Hung (UC, Merced); Hung-Yu Tseng (UC, Merced); Maneesh K Singh (Verisk Analytics); Ming-Hsuan Yang (UC Merced) 09:14 Boosting Standard Classification Architectures Through a Ranking Regularizer Ahmed A Taha (Univof Maryland)*; Yi-Ting Chen (Honda Research Institute USA); Teruhisa Misu (Honda Research Institute USA); Abhinav Shrivastava (Univ of Maryland); Larry Davis (Univ of Maryland) 12:15 Overlap Sampler for Region-Based Object Detector Joya Chen (Tencent; Univ of Science and Technology of China)*; Bin Luo (Tencent); Jia Chen (South China Univ of Technology); Xuezheng Peng (Tencent); Qi Wu (,CAS) 15:21 A one-and-half stage pedestrian detector Ujjwal Ujjwal (INRIA)*; Aziz Dziri (VEDECOM); Bertrand Leroy (VEDECOM); Francois Bremond (Inria Sophia Antipolis) 18:24 Model-Agnostic Metric for Zero-Shot Learning Jiayi Shen (Beihang Univ)*; Haochen Wang (Beihang Univ); Anran Zhang (Beihang Univ); Xiantong Zhen (Inception Institute of Artificial Intelligence); Qiang Qiu (Duke Univ); Xianbin Cao (Beihang Univ) 21:24 Intelligent Image Collection: Building the Optimal Dataset Matthew A Gwilliam *; Ryan Farrell (BYU) 24:30 Internet of Things (IoT) Discovery using Deep Neural Networks Ephraim Lo *; JoHannah Kohl (North Point Defense) 27:30 Propose-and-Attend Single Shot Detector Ho-Deok Jang *; Sanghyun Woo ; Philipp Benz ; Jinsun Park ; In So Kweon (KAIST, Korea) 30:35 Local Binary Pattern Networks for Character Recognition Jeng-Hau Lin *; Justin Lazarow ; Andrew Yang ; Dezhi Hong ; Rajesh Gupta ; Zhuowen Tu (UCSD) 33:40 Leveraging Filter Correlations for Deep Model Compression Pravendra Singh *; Vinay Kumar Verma ; Piyush Rai ; Vinay P Namboodiri (IIT Kanpur) 36:40 360-Indoor: Towards Learning Real-World Objects in 360° Indoor Equirectangular Images Shih-Han Chou (NTHU)*; Cheng Sun (NTHU); Wen-Yen Chang (NTHU); Wan-Ting Hsu (NTHU); Min Sun (NTHU); Jianlong Fu (Microsoft Research) 39:43 Regularize, Expand and Compress: NonExpansive Continual Learning Jie Zhang (Arizona State Univ)*; Junting Zhang (USC); Shalini Ghosh (Samsung Research America); Dawei Li (Samsung Electronics); Jingwen Zhu (Samsung Research America); Heming Zhang (USC) 42:44 Synthetic Examples Improve Generalization for Rare Classes Sara M Beery (Caltech)*; Yang Liu (Caltech); Dan Morris (Microsoft); Jim Piavis (Microsoft); Ashish Kapoor (Microsoft); Neel Joshi (MICROSOFT RESEARCH); Markus Meister (Caltech); Pietro Perona (Caltech) 45:50 CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language Zhi Chen (Univ of Queensland)*; Jingjing Li (University of Electronic Science and Technology of China); Yadan Luo (Univ of Queensland); Zi Huang (Univ of Queensland); Yang Yang (Univ of Electronic Science and Tech of China) 48:46 Accuracy Booster: Performance Boosting using Feature Map Re-calibration Pravendra Singh *; PRATIK MAZUMDER ; Vinay P Namboodiri (IIT Kanpur) 51:39 Generating Positive Bounding Boxes for Balanced Training of Object Detectors Kemal Oksuz (Middle East Technical Univ*; Sinan Kalkan (Middle East Tech Univ); Emre Akbas (Middle East Tech Univ); Barış Can Çam (Roketsan) 54:44 Towards Learning Affine-Invariant Representations via Data-Efficient CNNs Ziming Zhang (MERL)*; Wenju Xu (Univ of Kansas); Guanghui Wang (Univ of Kansas); Alan Sullivan (MERL) 57:45 Is Pruning Compression?: Investigating Pruning Via Network Layer Similarity Cody Blakeney *; Ziliang Zong ; Yan Yan (Texas State Univ) 01:00:45 Transductive Zero-Shot Learning for 3D Point Cloud Classification Ali Cheraghian (Australian National University (ANU))*; Shafin Rahman (ANU); Dylan Campbell (ANU); Lars Petersson (Data61/CSIRO) 01:03:50 Wide Hidden Expansion Layer for Deep Convolutional Neural Networks Min Wang (UCF)*; Baoyuan Liu (Amazon.com); Hassan Foroosh (UCF) 01:06:55 Learning from THEODORE: A Synthetic Omnidirectional Top-View Indoor Dataset for Deep Transfer Learning Roman Seidel *; Tobias Scheck ; Gangolf Hirtz (Chemnitz Univ of Tech) 01:09:55 TKD: Temporal Knowledge Distillation for Active Perception Mohammad Farhadi Bajestani *; Yezhou Yang (Arizona State Univ) 01:13:02 Shape Constrained Network for Eye Segmentation in the Wild Bingnan Luo (Imperial College London); Jie Shen (Imperial College London)*; Shiyang Cheng (Samsung); Yujiang Wang (Imperial College London); Maja Pantic (Imperial College London / Samsung )