Papers
Fast Interactive Object Annotation With Curve-GCN
Huan Ling, Jun Gao, Amlan Kar et al.
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells
Vladimir Nekrasov, Hao Chen, Chunhua Shen et al.
Fast Object Class Labelling via Speech
Michael Gygli, Vittorio Ferrari
Fast Online Object Tracking and Segmentation: A Unifying Approach
Qiang Wang, Li Zhang, Luca Bertinetto et al.
Fast Spatially-Varying Indoor Lighting Estimation
Mathieu Garon, Kalyan Sunkavalli, Sunil Hadap et al.
Fast Spatio-Temporal Residual Network for Video Super-Resolution
Sheng Li, Fengxiang He, Bo Du et al.
Fast User-Guided Video Object Segmentation by Interaction-And-Propagation Networks
Seoung Wug Oh, Joon-Young Lee, Ning Xu et al.
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search
Bichen Wu, Xiaoliang Dai, Peizhao Zhang et al.
Feature Denoising for Improving Adversarial Robustness
Cihang Xie, Yuxin Wu, Laurens van der Maaten et al.
Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples
Zihao Liu, Qi Liu, Tao Liu et al.
Feature-Level Frankenstein: Eliminating Variations for Discriminative Recognition
Xiaofeng Liu, Site Li, Lingsheng Kong et al.
Feature Selective Anchor-Free Module for Single-Shot Object Detection
Chenchen Zhu, Yihui He, Marios Savvides
Feature Space Perturbations Yield More Transferable Adversarial Examples
Nathan Inkawhich, Wei Wen, Hai (Helen) Li et al.
Feature Transfer Learning for Face Recognition With Under-Represented Data
Xi Yin, Xiang Yu, Kihyuk Sohn et al.
Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks
Minyoung Huh, Shao-Hua Sun, Ning Zhang
Feedback Network for Image Super-Resolution
Zhen Li, Jinglei Yang, Zheng Liu et al.
FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation
Paul Voigtlaender, Yuning Chai, Florian Schroff et al.
Few-Shot Adaptive Faster R-CNN
Tao Wang, Xiaopeng Zhang, Li Yuan et al.
Few-Shot Learning via Saliency-Guided Hallucination of Samples
Hongguang Zhang, Jing Zhang, Piotr Koniusz
Few-Shot Learning With Localization in Realistic Settings
Davis Wertheimer, Bharath Hariharan
FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference
Jungbeom Lee, Eunji Kim, Sungmin Lee et al.
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration
Yang He, Ping Liu, Ziwei Wang et al.
Finding Task-Relevant Features for Few-Shot Learning by Category Traversal
Hongyang Li, David Eigen, Samuel Dodge et al.
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery
Krishna Kumar Singh, Utkarsh Ojha, Yong Jae Lee