受强制性开放获取政策约束的文章 - Weijian Deng了解详情
可在其他位置公开访问的文章：12 篇
Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-Identification
W Deng, L Zheng, Q Ye, G Kang, Y Yang, J Jiao
CVPR, 2018
强制性开放获取政策： 国家自然科学基金委员会
Are Labels Always Necessary for Classifier Accuracy Evaluation?
W Deng, L Zheng
CVPR, 2021
强制性开放获取政策： Australian Research Council
Rethinking Triplet Loss for Domain Adaptation
W Deng, L Zheng, Y Sun, J Jiao
IEEE TCSVT, 2020
强制性开放获取政策： Australian Research Council, 国家自然科学基金委员会
What Does Rotation Prediction Tell Us About Classifier Accuracy Under Varying Testing Environments?
W Deng, S Gould, L Zheng
ICML, 2021
强制性开放获取政策： Australian Research Council
Vehicle Re-Identification with Location and Time Stamps
K Lv, H Du, Y Hou, W Deng, H Sheng, J Jiao, L Zheng
CVPR workshops, 2019
强制性开放获取政策： 国家自然科学基金委员会
On the Strong Correlation Between Model Invariance and Generalization
W Deng, S Gould, L Zheng
NeurIPS, 2022
强制性开放获取政策： Australian Research Council
Confidence and Dispersity Speak: Characterizing Prediction Matrix for Unsupervised Accuracy Estimation
W Deng, Y Suh, S Gould, L Zheng
ICML, 2023
强制性开放获取政策： Australian Research Council
Fine-Grained Classification via Categorical Memory Networks
W Deng, J Marsh, S Gould, L Zheng
IEEE TIP, 2022
强制性开放获取政策： Australian Research Council
Ranking Models in Unlabeled New Environments
X Sun, Y Hou, W Deng, H Li, L Zheng
ICCV, 2021
强制性开放获取政策： Australian Research Council
A Bag-of-Prototypes Representation for Dataset-Level Applications
W Tu, W Deng, T Gedeon, L Zheng
CVPR, 2023
强制性开放获取政策： Australian Research Council
Adaptive Calibrator Ensemble: Navigating Test Set Difficulty in Out-of-Distribution Scenarios
Y Zou*, W Deng*, L Zheng
ICCV, 2023
强制性开放获取政策： Australian Research Council, 国家自然科学基金委员会
Split To Learn: Gradient Split for Multi-Task Human Image Analysis
W Deng, Y Suh, X Yu, M Faraki, L Zheng, M Chandraker
WACV, 2023
强制性开放获取政策： Australian Research Council
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