Papers
All You Need Is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification
Weijie Chen, Di Xie, Yuan Zhang et al.
Pedestrian Detection With Autoregressive Network Phases
Garrick Brazil, Xiaoming Liu
Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy
Aoxue Li, Tiange Luo, Zhiwu Lu et al.
Adaptive Transfer Network for Cross-Domain Person Re-Identification
Jiawei Liu, Zheng-Jun Zha, Di Chen et al.
Compact Feature Learning for Multi-Domain Image Classification
Yajing Liu, Xinmei Tian, Ya Li et al.
VRSTC: Occlusion-Free Video Person Re-Identification
Ruibing Hou, Bingpeng Ma, Hong Chang et al.
Few-Shot Adaptive Faster R-CNN
Tao Wang, Xiaopeng Zhang, Li Yuan et al.
PointNetLK: Robust & Efficient Point Cloud Registration Using PointNet
Yasuhiro Aoki, Hunter Goforth, Rangaprasad Arun Srivatsan et al.
A Main/Subsidiary Network Framework for Simplifying Binary Neural Networks
Yinghao Xu, Xin Dong, Yudian Li et al.
Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction
Osama Makansi, Eddy Ilg, Ozgun Cicek et al.
AANet: Attribute Attention Network for Person Re-Identifications
Chiat-Pin Tay, Sharmili Roy, Kim-Hui Yap
Variational Bayesian Dropout With a Hierarchical Prior
Yuhang Liu, Wenyong Dong, Lei Zhang et al.
Building Detail-Sensitive Semantic Segmentation Networks With Polynomial Pooling
Zhen Wei, Jingyi Zhang, Li Liu et al.
PPGNet: Learning Point-Pair Graph for Line Segment Detection
Ziheng Zhang, Zhengxin Li, Ning Bi et al.
Knowledge Distillation via Instance Relationship Graph
Yufan Liu, Jiajiong Cao, Bing Li et al.
Accelerating Convolutional Neural Networks via Activation Map Compression
Georgios Georgiadis
IGE-Net: Inverse Graphics Energy Networks for Human Pose Estimation and Single-View Reconstruction
Dominic Jack, Frederic Maire, Sareh Shirazi et al.
Feature Space Perturbations Yield More Transferable Adversarial Examples
Nathan Inkawhich, Wei Wen, Hai (Helen) Li et al.
Semantically Aligned Bias Reducing Zero Shot Learning
Akanksha Paul, Narayanan C. Krishnan, Prateek Munjal
OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks
Jiashi Li, Qi Qi, Jingyu Wang et al.
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection
Golnaz Ghiasi, Tsung-Yi Lin, Quoc V. Le
Attention-Guided Unified Network for Panoptic Segmentation
Yanwei Li, Xinze Chen, Zheng Zhu et al.
Probabilistic End-To-End Noise Correction for Learning With Noisy Labels
Kun Yi, Jianxin Wu
Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration
Xing Liu, Masanori Suganuma, Zhun Sun et al.