Papers
Learned Video Compression
Oren Rippel, Sanjay Nair, Carissa Lew et al.
Domain Intersection and Domain Difference
Sagie Benaim, Michael Khaitov, Tomer Galanti et al.
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks With Octave Convolution
Yunpeng Chen, Haoqi Fan, Bing Xu et al.
AttentionRNN: A Structured Spatial Attention Mechanism
Siddhesh Khandelwal, Leonid Sigal
Information Entropy Based Feature Pooling for Convolutional Neural Networks
Weitao Wan, Jiansheng Chen, Tianpeng Li et al.
Hyperpixel Flow: Semantic Correspondence With Multi-Layer Neural Features
Juhong Min, Jongmin Lee, Jean Ponce et al.
Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks
Aamir Mustafa, Salman Khan, Munawar Hayat et al.
Conditional Coupled Generative Adversarial Networks for Zero-Shot Domain Adaptation
Jinghua Wang, Jianmin Jiang
Global Feature Guided Local Pooling
Takumi Kobayashi
LIP: Local Importance-Based Pooling
Ziteng Gao, Limin Wang, Gangshan Wu
Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation
Weifeng Ge, Sheng Guo, Weilin Huang et al.
Continual Learning by Asymmetric Loss Approximation With Single-Side Overestimation
Dongmin Park, Seokil Hong, Bohyung Han et al.
O2U-Net: A Simple Noisy Label Detection Approach for Deep Neural Networks
Jinchi Huang, Lie Qu, Rongfei Jia et al.
HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions
Duo Li, Aojun Zhou, Anbang Yao
Accelerate CNN via Recursive Bayesian Pruning
Yuefu Zhou, Ya Zhang, Yanfeng Wang et al.
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning
Zechun Liu, Haoyuan Mu, Xiangyu Zhang et al.
Attention Augmented Convolutional Networks
Irwan Bello, Barret Zoph, Ashish Vaswani et al.
LAP-Net: Level-Aware Progressive Network for Image Dehazing
Yunan Li, Qiguang Miao, Wanli Ouyang et al.
Indices Matter: Learning to Index for Deep Image Matting
Hao Lu, Yutong Dai, Chunhua Shen et al.
Controlling Neural Networks via Energy Dissipation
Michael Moeller, Thomas Mollenhoff, Daniel Cremers
Self-Supervised Representation Learning From Multi-Domain Data
Zeyu Feng, Chang Xu, Dacheng Tao
Co-Evolutionary Compression for Unpaired Image Translation
Han Shu, Yunhe Wang, Xu Jia et al.
AutoGAN: Neural Architecture Search for Generative Adversarial Networks
Xinyu Gong, Shiyu Chang, Yifan Jiang et al.
Dynamic-Net: Tuning the Objective Without Re-Training for Synthesis Tasks
Alon Shoshan, Roey Mechrez, Lihi Zelnik-Manor