Hard-Aware Deeply Cascaded Embedding

17 November 2016

Papers citing "Hard-Aware Deeply Cascaded Embedding"

50 / 125 papers shown

Title
Adaptive Hardness-driven Augmentation and Alignment Strategies for Multi-Source Domain Adaptations Yang Yuxiang Zeng Xinyi Zeng Pinxian Zu Chen Yan Binyu Zhou Jiliu Wang Yan 43 0 0 02 Jan 2025
DAAL: Density-Aware Adaptive Line Margin Loss for Multi-Modal Deep Metric Learning Hadush Hailu Gebrerufael Anil Kumar Tiwari Gaurav Neupane Goitom Ybrah Hailu 24 0 0 07 Oct 2024
UAV (Unmanned Aerial Vehicles): Diverse Applications of UAV Datasets in Segmentation, Classification, Detection, and Tracking Md. Mahfuzur Rahman Sunzida Siddique Marufa Kamal Rakib Hossain Rifat Kishor Datta Gupta AI4TS 42 0 0 05 Sep 2024
Close, But Not There: Boosting Geographic Distance Sensitivity in Visual Place Recognition Sergio Izquierdo Javier Civera 52 4 0 02 Jul 2024
Multi-threshold Deep Metric Learning for Facial Expression Recognition Wenwu Yang Jinyi Yu Tuo Chen Zhenguang Liu Xun Wang Jianbing Shen CVBM 21 1 0 24 Jun 2024
Potential Field Based Deep Metric Learning Shubhang Bhatnagar Narendra Ahuja 51 1 0 28 May 2024
Does Negative Sampling Matter? A Review with Insights into its Theory and Applications Zhen Yang Ming Ding Tinglin Huang Yukuo Cen Junshuai Song Bin Xu Yuxiao Dong Jie Tang 36 9 0 27 Feb 2024
Robust Multi-Task Learning with Excess Risks Yifei He Shiji Zhou Guojun Zhang Hyokun Yun Yi Tian Xu Belinda Zeng Trishul Chilimbi Han Zhao 58 7 0 03 Feb 2024
Introspective Deep Metric Learning Cheng-Hao Wang Wenzhao Zheng Zheng Hua Zhu Jie Zhou Jiwen Lu UQCV 35 12 0 11 Sep 2023
Center Contrastive Loss for Metric Learning Bolun Cai Pengfei Xiong Shangxuan Tian SSL 22 7 0 01 Aug 2023
Mean Field Theory in Deep Metric Learning Takuya Furusawa 33 2 0 27 Jun 2023
Deep Metric Learning with Soft Orthogonal Proxies F. Saberi-Movahed M. K. Ebrahimpour Farid Saberi-Movahed Monireh Moshavash Dorsa Rahmatian Mahvash Mohazzebi Mahdi Shariatzadeh M. Eftekhari 24 3 0 22 Jun 2023
Instance-specific and Model-adaptive Supervision for Semi-supervised Semantic Segmentation Zhen Zhao Sifan Long Jimin Pi Jingdong Wang Luping Zhou 34 29 0 21 Nov 2022
Contrastive Bayesian Analysis for Deep Metric Learning Shichao Kan Zhiquan He Yigang Cen Yang Li Mladenovic Vladimir Z. He 40 19 0 10 Oct 2022
Deep Metric Learning with Chance Constraints Y. Z. Gürbüz Ogul Can A. Aydin Alatan 29 2 0 19 Sep 2022
Supervised Contrastive Learning with Hard Negative Samples Ruijie Jiang Thuan Q. Nguyen Prakash Ishwar Shuchin Aeron 29 16 0 31 Aug 2022
DAS: Densely-Anchored Sampling for Deep Metric Learning Lizhao Liu Shan Huang Zhuangwei Zhuang Ran Yang Mingkui Tan Yaowei Wang 24 7 0 30 Jul 2022
Improving Evaluation of Debiasing in Image Classification Jungsoo Lee Juyoung Lee Sanghun Jung Jaegul Choo 27 0 0 08 Jun 2022
Introspective Deep Metric Learning for Image Retrieval Wenzhao Zheng Cheng-Hao Wang Jie Zhou Jiwen Lu VLM 33 0 0 09 May 2022
The Group Loss++: A deeper look into group loss for deep metric learning Ismail Elezi Jenny Seidenschwarz Laurin Wagner Sebastiano Vascon Alessandro Torcinovich Marcello Pelillo Laura Leal-Taixe 32 12 0 04 Apr 2022
Attributable Visual Similarity Learning Borui Zhang Wenzhao Zheng Jie Zhou Jiwen Lu 22 17 0 28 Mar 2022
Contrastive Embedding Distribution Refinement and Entropy-Aware Attention for 3D Point Cloud Classification Feng Yang Yichao Cao Qifan Xue Shuai Jin Xuanpeng Li Weigong Zhang 3DPC 14 4 0 27 Jan 2022
Multi-Head Deep Metric Learning Using Global and Local Representations M. K. Ebrahimpour Gang Qian Allison Beach 27 8 0 28 Dec 2021
Construct Informative Triplet with Two-stage Hard-sample Generation Chuang Zhu Zheng Hu Huihui Dong Gang He Zekuan Yu Shangshang Zhang 36 3 0 04 Dec 2021
Adaptive Hierarchical Similarity Metric Learning with Noisy Labels Jiexi Yan Lei Luo Cheng Deng Heng-Chiao Huang NoLa 16 17 0 29 Oct 2021
Multi Proxy Anchor Family Loss for Several Types of Gradients Shozo Saeki Minoru Kawahara Hirohisa Aman 27 2 0 08 Oct 2021
A Decidability-Based Loss Function Pedro H. L. Silva Gladston J. P. Moreira Vander L. S. Freitas Rodrigo Silva David Menotti Eduardo José da S. Luz CVBM 24 0 0 12 Sep 2021
Improving Deep Metric Learning by Divide and Conquer A. Sanakoyeu Pingchuan Ma Vadim Tschernezki Bjorn Ommer 37 14 0 09 Sep 2021
Deep Relational Metric Learning Wenzhao Zheng Borui Zhang Jiwen Lu Jie Zhou 21 43 0 23 Aug 2021
LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric Learning Bhavya Vasudeva Puneesh Deora Saumik Bhattacharya Umapada Pal S. Chanda 24 15 0 20 Aug 2021
Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering Chang-rui Liu Han Yu Boyang Albert Li Zhiqi Shen Zhanning Gao Peiran Ren Xuansong Xie Li-zhen Cui Chunyan Miao NoLa 30 0 0 03 Aug 2021
GiT: Graph Interactive Transformer for Vehicle Re-identification Fei Shen Yi Xie Jianqing Zhu Xiaobin Zhu Huanqiang Zeng ViT 32 112 0 12 Jul 2021
IDEAL: Independent Domain Embedding Augmentation Learning Zhiyuan Chen Guang Yao Wennan Ma Lin Xu OOD 19 1 0 21 May 2021
Informative and Representative Triplet Selection for Multilabel Remote Sensing Image Retrieval Gencer Sumbul Mahdyar Ravanbakhsh Begüm Demir 24 23 0 08 May 2021
Multi-Attention-Based Soft Partition Network for Vehicle Re-Identification Sangrok Lee Taekang Woo Sang Hun Lee 33 7 0 21 Apr 2021
Learning with Memory-based Virtual Classes for Deep Metric Learning ByungSoo Ko Geonmo Gu Han-Gyu Kim VLM 24 28 0 31 Mar 2021
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning Geonmo Gu ByungSoo Ko Han-Gyu Kim 27 36 0 29 Mar 2021
Learning Intra-Batch Connections for Deep Metric Learning Jenny Seidenschwarz Ismail Elezi Laura Leal-Taixé FedML 16 51 0 15 Feb 2021
Exploring Adversarial Robustness of Deep Metric Learning Thomas Kobber Panum Zehao Wang Pengyu Kan Earlence Fernandes S. Jha AAML 19 7 0 14 Feb 2021
Multi-level Distance Regularization for Deep Metric Learning Y. Kim Wonpyo Park 18 14 0 08 Feb 2021
LABNet: Local Graph Aggregation Network with Class Balanced Loss for Vehicle Re-Identification A. M. N. Taufique Andreas E. Savakis 35 20 0 29 Nov 2020
Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping Xinyi Xu Zhangyang Wang Cheng Deng Hao Yuan Shuiwang Ji FedML 25 14 0 17 Nov 2020
DSAM: A Distance Shrinking with Angular Marginalizing Loss for High Performance Vehicle Re-identificatio Jiangtao Kong Yu Cheng Benjia Zhou Keqin Li Junliang Xing CVBM 41 0 0 12 Nov 2020
Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies Yuehua Zhu Muli Yang Cheng Deng Wei Liu 27 55 0 26 Oct 2020
Where to Look and How to Describe: Fashion Image Retrieval with an Attentional Heterogeneous Bilinear Network Haibo Su Peng Wang Lingqiao Liu Hui Li Zhuguo Li Yanning Zhang 27 27 0 26 Oct 2020
Conditional Negative Sampling for Contrastive Learning of Visual Representations Mike Wu Milan Mossé Chengxu Zhuang Daniel L. K. Yamins Noah D. Goodman SSL 36 77 0 05 Oct 2020
End-to-End Training of CNN Ensembles for Person Re-Identification Ayse Serbetci Y. S. Akgul 24 23 0 03 Oct 2020
Representation Learning from Limited Educational Data with Crowdsourced Labels Wentao Wang Guowei Xu Wenbiao Ding Gale Yan Huang Guoliang Li Jiliang Tang Zitao Liu SSL 54 12 0 23 Sep 2020
Diversified Mutual Learning for Deep Metric Learning Wonpyo Park Wonjae Kim Kihyun You Minsu Cho FedML 27 6 0 09 Sep 2020
Incomplete Descriptor Mining with Elastic Loss for Person Re-Identification Hongchen Tan Yuhao Bian Huasheng Wang Xiuping Liu Baocai Yin 25 70 0 10 Aug 2020