Papers
8,506 papers found
One-Shot Neural Architecture Search via Self-Evaluated Template Network
Xuanyi Dong, Yi Yang
Onion-Peel Networks for Deep Video Completion
Seoung Wug Oh, Sungho Lee, Joon-Young Lee et al.
Online Hyper-Parameter Learning for Auto-Augmentation Strategy
Chen Lin, Minghao Guo, Chuming Li et al.
Online Model Distillation for Efficient Video Inference
Ravi Teja Mullapudi, Steven Chen, Keyi Zhang et al.
Online Unsupervised Learning of the 3D Kinematic Structure of Arbitrary Rigid Bodies
Urbano Miguel Nunes, Yiannis Demiris
On Network Design Spaces for Visual Recognition
Ilija Radosavovic, Justin Johnson, Saining Xie et al.
On the Design of Black-Box Adversarial Examples by Leveraging Gradient-Free Optimization and Operator Splitting Method
Pu Zhao, Sijia Liu, Pin-Yu Chen et al.
On the Efficacy of Knowledge Distillation
Jang Hyun Cho, Bharath Hariharan
On the Global Optima of Kernelized Adversarial Representation Learning
Bashir Sadeghi, Runyi Yu, Vishnu Boddeti
On the Over-Smoothing Problem of CNN Based Disparity Estimation
Chuangrong Chen, Xiaozhi Chen, Hui Cheng
OperatorNet: Recovering 3D Shapes From Difference Operators
Ruqi Huang, Marie-Julie Rakotosaona, Panos Achlioptas et al.
Optimizing Network Structure for 3D Human Pose Estimation
Hai Ci, Chunyu Wang, Xiaoxuan Ma et al.
Optimizing the F-Measure for Threshold-Free Salient Object Detection
Kai Zhao, Shanghua Gao, Wenguan Wang et al.
Order-Aware Generative Modeling Using the 3D-Craft Dataset
Zhuoyuan Chen, Demi Guo, Tong Xiao et al.
Order-Preserving Wasserstein Discriminant Analysis
Bing Su, Jiahuan Zhou, Ying Wu
Orientation-Aware Semantic Segmentation on Icosahedron Spheres
Chao Zhang, Stephan Liwicki, William Smith et al.
Overcoming Catastrophic Forgetting With Unlabeled Data in the Wild
Kibok Lee, Kimin Lee, Jinwoo Shin et al.
PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data
Zheng Tang, Milind Naphade, Stan Birchfield et al.
PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment
Kaixin Wang, Jun Hao Liew, Yingtian Zou et al.
Parametric Majorization for Data-Driven Energy Minimization Methods
Jonas Geiping, Michael Moeller
Pareto Meets Huber: Efficiently Avoiding Poor Minima in Robust Estimation
Christopher Zach, Guillaume Bourmaud
PARN: Position-Aware Relation Networks for Few-Shot Learning
Ziyang Wu, Yuwei Li, Lihua Guo et al.
Perceptual Deep Depth Super-Resolution
Oleg Voynov, Alexey Artemov, Vage Egiazarian et al.
Permutation-Invariant Feature Restructuring for Correlation-Aware Image Set-Based Recognition
Xiaofeng Liu, Zhenhua Guo, Site Li et al.