Papers
Attribute Attention for Semantic Disambiguation in Zero-Shot Learning
Yang Liu, Jishun Guo, Deng Cai et al.
An Empirical Study of Spatial Attention Mechanisms in Deep Networks
Xizhou Zhu, Dazhi Cheng, Zheng Zhang et al.
Object Guided External Memory Network for Video Object Detection
Hanming Deng, Yang Hua, Tao Song et al.
Multi-Adversarial Faster-RCNN for Unrestricted Object Detection
Zhenwei He, Lei Zhang
PARN: Position-Aware Relation Networks for Few-Shot Learning
Ziyang Wu, Yuwei Li, Lihua Guo et al.
Auto-FPN: Automatic Network Architecture Adaptation for Object Detection Beyond Classification
Hang Xu, Lewei Yao, Wei Zhang et al.
View Confusion Feature Learning for Person Re-Identification
Fangyi Liu, Lei Zhang
Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks
Jianyu Wang, Haichao Zhang
Incremental Learning Using Conditional Adversarial Networks
Ye Xiang, Ying Fu, Pan Ji et al.
Dynamic Anchor Feature Selection for Single-Shot Object Detection
Shuai Li, Lingxiao Yang, Jianqiang Huang et al.
Selective Sparse Sampling for Fine-Grained Image Recognition
Yao Ding, Yanzhao Zhou, Yi Zhu et al.
DANet: Divergent Activation for Weakly Supervised Object Localization
Haolan Xue, Chang Liu, Fang Wan et al.
Online Hyper-Parameter Learning for Auto-Augmentation Strategy
Chen Lin, Minghao Guo, Chuming Li et al.
CenterNet: Keypoint Triplets for Object Detection
Kaiwen Duan, Song Bai, Lingxi Xie et al.
Simultaneous Multi-View Instance Detection With Learned Geometric Soft-Constraints
Ahmed Samy Nassar, Sebastien Lefevre, Jan Dirk Wegner
Adversarial Learning With Margin-Based Triplet Embedding Regularization
Yaoyao Zhong, Weihong Deng
Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings
Pierre Jacob, David Picard, Aymeric Histace et al.
Deep Elastic Networks With Model Selection for Multi-Task Learning
Chanho Ahn, Eunwoo Kim, Songhwai Oh
Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning
Jiwoong Park, Minsik Lee, Hyung Jin Chang et al.
Fast and Practical Neural Architecture Search
Jiequan Cui, Pengguang Chen, Ruiyu Li et al.
Normalized Wasserstein for Mixture Distributions With Applications in Adversarial Learning and Domain Adaptation
Yogesh Balaji, Rama Chellappa, Soheil Feizi
Deep Metric Learning With Tuplet Margin Loss
Baosheng Yu, Dacheng Tao
AttPool: Towards Hierarchical Feature Representation in Graph Convolutional Networks via Attention Mechanism
Jingjia Huang, Zhangheng Li, Nannan Li et al.
Gaussian Affinity for Max-Margin Class Imbalanced Learning
Munawar Hayat, Salman Khan, Syed Waqas Zamir et al.
A Weakly Supervised Fine Label Classifier Enhanced by Coarse Supervision
Fariborz Taherkhani, Hadi Kazemi, Ali Dabouei et al.