Papers
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression
Yuchao Li, Shaohui Lin, Baochang Zhang et al.
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning
Shaohui Lin, Rongrong Ji, Chenqian Yan et al.
Variational Convolutional Neural Network Pruning
Chenglong Zhao, Bingbing Ni, Jian Zhang et al.
Few-Shot Learning via Saliency-Guided Hallucination of Samples
Hongguang Zhang, Jing Zhang, Piotr Koniusz
Learning to Sample
Oren Dovrat, Itai Lang, Shai Avidan
Hybrid-Attention Based Decoupled Metric Learning for Zero-Shot Image Retrieval
Binghui Chen, Weihong Deng
Sequence-To-Sequence Domain Adaptation Network for Robust Text Image Recognition
Yaping Zhang, Shuai Nie, Wenju Liu et al.
Improving Transferability of Adversarial Examples With Input Diversity
Cihang Xie, Zhishuai Zhang, Yuyin Zhou et al.
Universal Domain Adaptation
Kaichao You, Mingsheng Long, Zhangjie Cao et al.
Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks
Eunwoo Kim, Chanho Ahn, Philip H.S. Torr et al.
DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Multi-Scale Deep Features
Chang Tang, Xinzhong Zhu, Xinwang Liu et al.
Circulant Binary Convolutional Networks: Enhancing the Performance of 1-Bit DCNNs With Circulant Back Propagation
Chunlei Liu, Wenrui Ding, Xin Xia et al.
Understanding the Disharmony Between Dropout and Batch Normalization by Variance Shift
Xiang Li, Shuo Chen, Xiaolin Hu et al.
Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild
Luan Tran, Kihyuk Sohn, Xiang Yu et al.
Do Better ImageNet Models Transfer Better?
Simon Kornblith, Jonathon Shlens, Quoc V. Le
Supervised Fitting of Geometric Primitives to 3D Point Clouds
Lingxiao Li, Minhyuk Sung, Anastasia Dubrovina et al.
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation
He Wang, Srinath Sridhar, Jingwei Huang et al.
Tell Me Where I Am: Object-Level Scene Context Prediction
Xiaotian Qiao, Quanlong Zheng, Ying Cao et al.
Towards Scene Understanding: Unsupervised Monocular Depth Estimation With Semantic-Aware Representation
Po-Yi Chen, Alexander H. Liu, Yen-Cheng Liu et al.
Scan2CAD: Learning CAD Model Alignment in RGB-D Scans
Armen Avetisyan, Manuel Dahnert, Angela Dai et al.
Structured Knowledge Distillation for Semantic Segmentation
Yifan Liu, Ke Chen, Chris Liu et al.
Learning Spatial Common Sense With Geometry-Aware Recurrent Networks
Hsiao-Yu Fish Tung, Ricson Cheng, Katerina Fragkiadaki
Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach
Proteek Chandan Roy, Vishnu Naresh Boddeti
AE2-Nets: Autoencoder in Autoencoder Networks
Changqing Zhang, Yeqing Liu, Huazhu Fu
Learning Correspondence From the Cycle-Consistency of Time
Xiaolong Wang, Allan Jabri, Alexei A. Efros