Learning Deep Embeddings with Histogram Loss

2 November 2016

Papers citing "Learning Deep Embeddings with Histogram Loss"

50 / 159 papers shown

Title
GSSF: Generalized Structural Sparse Function for Deep Cross-modal Metric Learning Haiwen Diao Ying Zhang Shang Gao Jiawen Zhu Long Chen Huchuan Lu 31 4 0 20 Oct 2024
DAAL: Density-Aware Adaptive Line Margin Loss for Multi-Modal Deep Metric Learning Hadush Hailu Gebrerufael Anil Kumar Tiwari Gaurav Neupane Goitom Ybrah Hailu 19 0 0 07 Oct 2024
Towards Fine-Grained Webpage Fingerprinting at Scale Xiyuan Zhao Xinhao Deng Qi Li Yunpeng Liu Zhuotao Liu Kun Sun Ke Xu 29 2 0 06 Sep 2024
ImageSI: Semantic Interaction for Deep Learning Image Projections Jiayue Lin Rebecca Faust Chris North 22 0 0 07 Aug 2024
Not All Pairs are Equal: Hierarchical Learning for Average-Precision-Oriented Video Retrieval Yang Liu Qianqian Xu Peisong Wen Siran Dai Qingming Huang 46 0 0 22 Jul 2024
Deep Boosting Learning: A Brand-new Cooperative Approach for Image-Text Matching Haiwen Diao Ying Zhang Shang Gao Xiang Ruan Huchuan Lu 36 3 0 28 Apr 2024
Brain-Shift: Unsupervised Pseudo-Healthy Brain Synthesis for Novel Biomarker Extraction in Chronic Subdural Hematoma Baris Imre Elina Thibeau-Sutre Jorieke Reimer Kuan Kho J. Wolterink 26 0 0 28 Mar 2024
OpticalDR: A Deep Optical Imaging Model for Privacy-Protective Depression Recognition Yuchen Pan Junjun Jiang Kui Jiang Zhihao Wu Keyuan Yu Xianming Liu 20 0 0 29 Feb 2024
Tensor Factorization for Leveraging Cross-Modal Knowledge in Data-Constrained Infrared Object Detection Manish Sharma Moitreya Chatterjee Kuan-Chuan Peng Suhas Lohit Z. Wang 17 1 0 28 Sep 2023
Optimization of Rank Losses for Image Retrieval Elias Ramzi Nicolas Audebert Clément Rambour André Araujo Xavier Bitot Nicolas Thome 23 4 0 15 Sep 2023
Center Contrastive Loss for Metric Learning Bolun Cai Pengfei Xiong Shangxuan Tian SSL 15 7 0 01 Aug 2023
On the Stability and Generalization of Triplet Learning Jun Chen H. Chen Xue Jiang Bin Gu Weifu Li Tieliang Gong Feng Zheng 29 4 0 20 Feb 2023
Enhancing Face Recognition with Latent Space Data Augmentation and Facial Posture Reconstruction Soroush Hashemifar Abdolreza Marefat Javad Hassannataj Joloudari H. Hassanpour CVBM 31 11 0 27 Jan 2023
A Survey of Face Recognition Xinyi Wang Jianteng Peng Sufang Zhang Bihui Chen Yi Wang Yan-Hua Guo CVBM 23 0 0 26 Dec 2022
AdaMS: Deep Metric Learning with Adaptive Margin and Adaptive Scale for Acoustic Word Discrimination Myunghun Jung Hoi-Rim Kim 8 1 0 26 Oct 2022
Contrastive Bayesian Analysis for Deep Metric Learning Shichao Kan Zhiquan He Yigang Cen Yang Li Mladenovic Vladimir Z. He 27 19 0 10 Oct 2022
Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability Peisong Wen Qianqian Xu Zhiyong Yang Yuan He Qingming Huang 53 10 0 27 Sep 2022
Learning Pair Potentials using Differentiable Simulations Wujie Wang Zhenghao Wu Rafael Gómez-Bombarelli 22 23 0 16 Sep 2022
Learning Deep Optimal Embeddings with Sinkhorn Divergences S. Roy Yan Han Mehrtash Harandi L. Petersson 20 0 0 14 Sep 2022
Self-Supervised Pretraining of Graph Neural Network for the Retrieval of Related Mathematical Expressions in Scientific Articles Lukas Pfahler K. Morik SSL 10 4 0 22 Aug 2022
DAS: Densely-Anchored Sampling for Deep Metric Learning Lizhao Liu Shan Huang Zhuangwei Zhuang Ran Yang Mingkui Tan Yaowei Wang 16 7 0 30 Jul 2022
Deep Metric Color Embeddings for Splicing Localization in Severely Degraded Images Benjamin Hadwiger Christian Riess 19 3 0 21 Jun 2022
RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression Yu Gong Greg Mori Frederick Tung 19 44 0 30 May 2022
Data-Driven Estimation of Capacity Upper Bounds Christian Hager E. Agrell 19 2 0 13 May 2022
Rendering Nighttime Image Via Cascaded Color and Brightness Compensation Zhihao Li Si Yi Zhan Ma 24 2 0 19 Apr 2022
HBReID: Harder Batch for Re-identification Wenqi Li Furong Xu Jianan Zhao Ruobing Zheng Cheng Zou Meng Wang Yuan Cheng 15 3 0 09 Dec 2021
GB-CosFace: Rethinking Softmax-based Face Recognition from the Perspective of Open Set Classification Lizhe Liu Mingqiang Chen Xiaohao Chen Siyu Zhu Ping Tan CVBM 11 4 0 22 Nov 2021
Adaptive Hierarchical Similarity Metric Learning with Noisy Labels Jiexi Yan Lei Luo Cheng Deng Heng-Chiao Huang NoLa 8 17 0 29 Oct 2021
Robust and Decomposable Average Precision for Image Retrieval Elias Ramzi Nicolas Thome Clément Rambour Nicolas Audebert Xavier Bitot 37 27 0 01 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 22 0 0 12 Sep 2021
Improving Deep Metric Learning by Divide and Conquer A. Sanakoyeu Pingchuan Ma Vadim Tschernezki Bjorn Ommer 26 14 0 09 Sep 2021
Recall@k Surrogate Loss with Large Batches and Similarity Mixup Yash J. Patel Giorgos Tolias Jirí Matas VLM 36 54 0 25 Aug 2021
LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric Learning Bhavya Vasudeva Puneesh Deora Saumik Bhattacharya Umapada Pal S. Chanda 16 15 0 20 Aug 2021
Towards Interpretable Deep Metric Learning with Structural Matching Wenliang Zhao Yongming Rao Ziyi Wang Jiwen Lu Jie Zhou FedML 13 46 0 12 Aug 2021
SphereFace2: Binary Classification is All You Need for Deep Face Recognition Yandong Wen Weiyang Liu Adrian Weller Bhiksha Raj Rita Singh CVBM MQ 24 53 0 03 Aug 2021
Ensemble of Loss Functions to Improve Generalizability of Deep Metric Learning methods Davood Zabihzadeh Zahraa Alitbi Seyed Jalaleddin Mousavirad FedML 10 6 0 02 Jul 2021
Atlas Based Representation and Metric Learning on Manifolds Eric O. Korman 14 3 0 13 Jun 2021
A Framework to Enhance Generalization of Deep Metric Learning methods using General Discriminative Feature Learning and Class Adversarial Neural Networks K. Al-Kaabi R. Monsefi Davood Zabihzadeh 31 8 0 11 Jun 2021
The Earth Mover's Pinball Loss: Quantiles for Histogram-Valued Regression Florian List UQCV 13 4 0 03 Jun 2021
Large-Scale Spatio-Temporal Person Re-identification: Algorithms and Benchmark Xiujun Shu Tianlin Li Xian Zhang Shiliang Zhang Yuanqi Chen Gezhong Li Q. Tian AI4TS 16 71 0 31 May 2021
von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning Tyler R. Scott Andrew C. Gallagher Michael C. Mozer 25 38 0 29 Mar 2021
Rethinking Deep Contrastive Learning with Embedding Memory Haozhi Zhang Xun Wang Weilin Huang Matthew R. Scott 16 3 0 25 Mar 2021
Pretraining Neural Architecture Search Controllers with Locality-based Self-Supervised Learning Kwanghee Choi Minyoung Choe Hyelee Lee SSL AI4CE 16 1 0 15 Mar 2021
Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones is Enough Zhu Li Weiqing Min Jiajun Song Yaohui Zhu Liping Kang Xiaoming Wei Xiaolin K. Wei Shuqiang Jiang 28 10 0 09 Feb 2021
Multi-level Distance Regularization for Deep Metric Learning Y. Kim Wonpyo Park 16 14 0 08 Feb 2021
A Review of Speaker Diarization: Recent Advances with Deep Learning Tae Jin Park Naoyuki Kanda Dimitrios Dimitriadis Kyu Jeong Han Shinji Watanabe Shrikanth Narayanan VLM 274 327 0 24 Jan 2021
Learning Portrait Style Representations Sadat Shaik Bernadette Bucher Nephele Agrafiotis Stephen Phillips Kostas Daniilidis W. Schmenner 16 2 0 08 Dec 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
A New Similarity Space Tailored for Supervised Deep Metric Learning P. H. Barros Fabiane Queiroz Flavio Figueredo J. A. dos Santos Heitor S. Ramos DRL 22 7 0 16 Nov 2020
Deep Metric Learning with Spherical Embedding Dingyi Zhang Yingming Li Zhongfei Zhang DML 25 38 0 05 Nov 2020