Papers
8,506 papers found
Rethinking ImageNet Pre-Training
Kaiming He, Ross Girshick, Piotr Dollar
Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective
Kai Li, Martin Renqiang Min, Yun Fu
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data
Mikaela Angelina Uy, Quang-Hieu Pham, Binh-Son Hua et al.
Revisiting Radial Distortion Absolute Pose
Viktor Larsson, Torsten Sattler, Zuzana Kukelova et al.
RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment
Guan'an Wang, Tianzhu Zhang, Jian Cheng et al.
RIO: 3D Object Instance Re-Localization in Changing Indoor Environments
Johanna Wald, Armen Avetisyan, Nassir Navab et al.
Robust Change Captioning
Dong Huk Park, Trevor Darrell, Anna Rohrbach
Robust Motion Segmentation From Pairwise Matches
Federica Arrigoni, Tomas Pajdla
Robust Multi-Modality Multi-Object Tracking
Wenwei Zhang, Hui Zhou, Shuyang Sun et al.
Robust Person Re-Identification by Modelling Feature Uncertainty
Tianyuan Yu, Da Li, Yongxin Yang et al.
Robust Variational Bayesian Point Set Registration
Jie Zhou, Xinke Ma, Li Liang et al.
S2GAN: Share Aging Factors Across Ages and Share Aging Trends Among Individuals
Zhenliang He, Meina Kan, Shiguang Shan et al.
S4L: Self-Supervised Semi-Supervised Learning
Xiaohua Zhai, Avital Oliver, Alexander Kolesnikov et al.
Saliency-Guided Attention Network for Image-Sentence Matching
Zhong Ji, Haoran Wang, Jungong Han et al.
Sampling-Free Epistemic Uncertainty Estimation Using Approximated Variance Propagation
Janis Postels, Francesco Ferroni, Huseyin Coskun et al.
Sampling Wisely: Deep Image Embedding by Top-K Precision Optimization
Jing Lu, Chaofan Xu, Wei Zhang et al.
SANet: Scene Agnostic Network for Camera Localization
Luwei Yang, Ziqian Bai, Chengzhou Tang et al.
Scalable Place Recognition Under Appearance Change for Autonomous Driving
Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin et al.
Scalable Verified Training for Provably Robust Image Classification
Sven Gowal, Krishnamurthy (Dj) Dvijotham, Robert Stanforth et al.
Scale-Aware Trident Networks for Object Detection
Yanghao Li, Yuntao Chen, Naiyan Wang et al.
Scaling and Benchmarking Self-Supervised Visual Representation Learning
Priya Goyal, Dhruv Mahajan, Abhinav Gupta 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.
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.