Papers
Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation
Jaime Spencer, Richard Bowden, Simon Hadfield
Scale-Aware Trident Networks for Object Detection
Yanghao Li, Yuntao Chen, Naiyan Wang et al.
Scale-free adaptive planning for deterministic dynamics & discounted rewards
Peter Bartlett, Victor Gabillon, Jennifer Healey et al.
Scale Invariant Fully Convolutional Network: Detecting Hands Efficiently
Dan Liu, Dawei Du, Libo Zhang et al.
Scaling and Benchmarking Self-Supervised Visual Representation Learning
Priya Goyal, Dhruv Mahajan, Abhinav Gupta et al.
Scaling Community Cellular Networks with CommunityCellularManager
Shaddi Hasan, Mary Claire Barela, Matthew Johnson et al.
Scaling Fine-grained Modularity Clustering for Massive Graphs
Hiroaki Shiokawa, Toshiyuki Amagasa, Hiroyuki Kitagawa
Scaling Multi-Domain Dialogue State Tracking via Query Reformulation
Pushpendre Rastogi, Arpit Gupta, Tongfei Chen et al.
Scaling Object Detection by Transferring Classification Weights
Jason Kuen, Federico Perazzi, Zhe Lin et al.
Scaling Recurrent Models via Orthogonal Approximations in Tensor Trains
Ronak Mehta, Rudrasis Chakraborty, Yunyang Xiong et al.
Scaling up Open Tagging from Tens to Thousands: Comprehension Empowered Attribute Value Extraction from Product Title
Huimin Xu, Wenting Wang, Xin Mao et al.
Scaling Up Ordinal Embedding: A Landmark Approach
Jesse Anderton, Javed Aslam
Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction
Bin Hong, Weizhong Zhang, Wei Liu et al.
Scaling-Up Split-Merge MCMC with Locality Sensitive Sampling (LSS)
Chen Luo, Anshumali Shrivastava
Scan2CAD: Learning CAD Model Alignment in RGB-D Scans
Armen Avetisyan, Manuel Dahnert, Angela Dai et al.
Scan2Mesh: From Unstructured Range Scans to 3D Meshes
Angela Dai, Matthias Niessner
SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models
Linfeng Zhang, Zhanhong Tan, Jiebo Song et al.
Scene Categorization From Contours: Medial Axis Based Salience Measures
Morteza Rezanejad, Gabriel Downs, John Wilder et al.
SceneCode: Monocular Dense Semantic Reconstruction Using Learned Encoded Scene Representations
Shuaifeng Zhi, Michael Bloesch, Stefan Leutenegger et al.
Scene Graph Generation With External Knowledge and Image Reconstruction
Jiuxiang Gu, Handong Zhao, Zhe Lin et al.
SceneGraphNet: Neural Message Passing for 3D Indoor Scene Augmentation
Yang Zhou, Zachary While, Evangelos Kalogerakis
Scene Graph Prediction With Limited Labels
Vincent S. Chen, Paroma Varma, Ranjay Krishna et al.
Scene-level Pose Estimation for Multiple Instances of Densely Packed Objects
Chaitanya Mitash, Bowen Wen, Kostas Bekris et al.
Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks
Kuan Fang, Alexander Toshev, Li Fei-Fei et al.
Scene Parsing via Integrated Classification Model and Variance-Based Regularization
Hengcan Shi, Hongliang Li, Qingbo Wu et al.