Papers
Referring Image Segmentation via Cross-Modal Progressive Comprehension
Shaofei Huang, Tianrui Hui, Si Liu et al.
Reflection Scene Separation From a Single Image
Renjie Wan, Boxin Shi, Haoliang Li et al.
Regularization on Spatio-Temporally Smoothed Feature for Action Recognition
Jinhyung Kim, Seunghwan Cha, Dongyoon Wee et al.
Regularizing Class-Wise Predictions via Self-Knowledge Distillation
Sukmin Yun, Jongjin Park, Kimin Lee et al.
Regularizing CNN Transfer Learning With Randomised Regression
Yang Zhong, Atsuto Maki
Regularizing Discriminative Capability of CGANs for Semi-Supervised Generative Learning
Yi Liu, Guangchang Deng, Xiangping Zeng et al.
Regularizing Neural Networks via Minimizing Hyperspherical Energy
Rongmei Lin, Weiyang Liu, Zhen Liu et al.
Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task
Aritra Bhowmik, Stefan Gumhold, Carsten Rother et al.
Relation-Aware Global Attention for Person Re-Identification
Zhizheng Zhang, Cuiling Lan, Wenjun Zeng et al.
Relative Interior Rule in Block-Coordinate Descent
Tomas Werner, Daniel Prusa, Tomas Dlask
Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation
Renjun Xu, Pelen Liu, Liyan Wang et al.
Residual Feature Aggregation Network for Image Super-Resolution
Jie Liu, Wenjie Zhang, Yuting Tang et al.
Resolution Adaptive Networks for Efficient Inference
Le Yang, Yizeng Han, Xi Chen et al.
ReSprop: Reuse Sparsified Backpropagation
Negar Goli, Tor M. Aamodt
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective
Muhammad Abdullah Jamal, Matthew Brown, Ming-Hsuan Yang et al.
Rethinking Classification and Localization for Object Detection
Yue Wu, Yinpeng Chen, Lu Yuan et al.
Rethinking Computer-Aided Tuberculosis Diagnosis
Yun Liu, Yu-Huan Wu, Yunfeng Ban et al.
Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy
Jaejun Yoo, Namhyuk Ahn, Kyung-Ah Sohn
Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets
Daniel Haase, Manuel Amthor
Rethinking Differentiable Search for Mixed-Precision Neural Networks
Zhaowei Cai, Nuno Vasconcelos
Rethinking Performance Estimation in Neural Architecture Search
Xiawu Zheng, Rongrong Ji, Qiang Wang et al.
Rethinking the Route Towards Weakly Supervised Object Localization
Chen-Lin Zhang, Yun-Hao Cao, Jianxin Wu
Rethinking Zero-Shot Video Classification: End-to-End Training for Realistic Applications
Biagio Brattoli, Joseph Tighe, Fedor Zhdanov et al.
RetinaFace: Single-Shot Multi-Level Face Localisation in the Wild
Jiankang Deng, Jia Guo, Evangelos Ververas et al.
Retina-Like Visual Image Reconstruction via Spiking Neural Model
Lin Zhu, Siwei Dong, Jianing Li et al.