Papers
Multi-Similarity Loss With General Pair Weighting for Deep Metric Learning
Xun Wang, Xintong Han, Weilin Huang et al.
Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-Grained Image Recognition
Heliang Zheng, Jianlong Fu, Zheng-Jun Zha et al.
Learning to Learn Relation for Important People Detection in Still Images
Wei-Hong Li, Fa-Ting Hong, Wei-Shi Zheng
ClusterNet: Deep Hierarchical Cluster Network With Rigorously Rotation-Invariant Representation for Point Cloud Analysis
Chao Chen, Guanbin Li, Ruijia Xu et al.
Multi-Task Self-Supervised Object Detection via Recycling of Bounding Box Annotations
Wonhee Lee, Joonil Na, Gunhee Kim
Hybrid Task Cascade for Instance Segmentation
Kai Chen, Jiangmiao Pang, Jiaqi Wang et al.
Deep Embedding Learning With Discriminative Sampling Policy
Yueqi Duan, Lei Chen, Jiwen Lu et al.
Knockoff Nets: Stealing Functionality of Black-Box Models
Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz
Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure
Xiaohan Ding, Guiguang Ding, Yuchen Guo et al.
Distilling Object Detectors With Fine-Grained Feature Imitation
Tao Wang, Li Yuan, Xiaopeng Zhang et al.
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?
Shilin Zhu, Xin Dong, Hao Su
Attribute-Driven Feature Disentangling and Temporal Aggregation for Video Person Re-Identification
Yiru Zhao, Xu Shen, Zhongming Jin et al.
LP-3DCNN: Unveiling Local Phase in 3D Convolutional Neural Networks
Sudhakar Kumawat, Shanmuganathan Raman
Contrastive Adaptation Network for Unsupervised Domain Adaptation
Guoliang Kang, Lu Jiang, Yi Yang et al.
On Learning Density Aware Embeddings
Soumyadeep Ghosh, Richa Singh, Mayank Vatsa
Iterative Normalization: Beyond Standardization Towards Efficient Whitening
Lei Huang, Yi Zhou, Fan Zhu et al.
Instance-Level Meta Normalization
Songhao Jia, Ding-Jie Chen, Hwann-Tzong Chen
Blind Geometric Distortion Correction on Images Through Deep Learning
Xiaoyu Li, Bo Zhang, Pedro V. Sander et al.
Strike (With) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects
Michael A. Alcorn, Qi Li, Zhitao Gong et al.
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs
Pravendra Singh, Vinay Kumar Verma, Piyush Rai et al.
Detection Based Defense Against Adversarial Examples From the Steganalysis Point of View
Jiayang Liu, Weiming Zhang, Yiwei Zhang et al.
Signal-To-Noise Ratio: A Robust Distance Metric for Deep Metric Learning
Tongtong Yuan, Weihong Deng, Jian Tang et al.
SpotTune: Transfer Learning Through Adaptive Fine-Tuning
Yunhui Guo, Honghui Shi, Abhishek Kumar et al.
Co-Occurrence Neural Network
Irina Shevlev, Shai Avidan
RENAS: Reinforced Evolutionary Neural Architecture Search
Yukang Chen, Gaofeng Meng, Qian Zhang et al.