Hard-Aware Deeply Cascaded Embedding

17 November 2016

Papers citing "Hard-Aware Deeply Cascaded Embedding"

50 / 125 papers shown

Title
Unravelling Small Sample Size Problems in the Deep Learning World Rohit Keshari Soumyadeep Ghosh S. Chhabra Mayank Vatsa Richa Singh 32 33 0 08 Aug 2020
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval A. Brown Weidi Xie Vicky Kalogeiton Andrew Zisserman 37 163 0 23 Jul 2020
NPCFace: Negative-Positive Collaborative Training for Large-scale Face Recognition Dan Zeng Hailin Shi Hang Du Jun Wang Zhen Lei Tao Mei CVBM 8 13 0 20 Jul 2020
A Generic Visualization Approach for Convolutional Neural Networks Ahmed Taha Xitong Yang Abhinav Shrivastava L. Davis 15 8 0 19 Jul 2020
Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization Shujun Wang Lequan Yu Caizi Li Chi-Wing Fu Pheng-Ann Heng OOD 13 191 0 18 Jul 2020
Preserving Semantic Neighborhoods for Robust Cross-modal Retrieval Christopher Thomas Adriana Kovashka 23 41 0 16 Jul 2020
ATOM: Robustifying Out-of-distribution Detection Using Outlier Mining Jiefeng Chen Yixuan Li Xi Wu Yingyu Liang S. Jha OODD 8 135 0 26 Jun 2020
Exploiting Contextual Information with Deep Neural Networks Ismail Elezi 13 3 0 21 Jun 2020
Improving Deep Metric Learning with Virtual Classes and Examples Mining Pierre Jacob David Picard A. Histace Edouard Klein VLM 14 3 0 11 Jun 2020
Exploring Spatial Significance via Hybrid Pyramidal Graph Network for Vehicle Re-identification Fei Shen Jianqing Zhu Xiaobin Zhu Yi Xie Jingchang Huang 6 97 0 29 May 2020
DIABLO: Dictionary-based Attention Block for Deep Metric Learning Pierre Jacob David Picard A. Histace Edouard Klein 6 1 0 30 Apr 2020
Why should we add early exits to neural networks? Simone Scardapane M. Scarpiniti E. Baccarelli A. Uncini 11 117 0 27 Apr 2020
Sharing Matters for Generalization in Deep Metric Learning Timo Milbich Karsten Roth Biagio Brattoli Bjorn Ommer FedML OOD 6 23 0 12 Apr 2020
Parsing-based View-aware Embedding Network for Vehicle Re-Identification Dechao Meng Liang Li Xuejing Liu Yadong Li Shijie Yang Zhengjun Zha Xingyu Gao Shuhui Wang Qingming Huang 17 174 0 10 Apr 2020
Proxy Anchor Loss for Deep Metric Learning Sungyeon Kim Dongwon Kim Minsu Cho Suha Kwak 6 351 0 31 Mar 2020
Efficient Deep Representation Learning by Adaptive Latent Space Sampling Yuanhan Mo Shuo Wang Chengliang Dai Rui Zhou Z. Teng Wenjia Bai Yike Guo 24 0 0 19 Mar 2020
A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses Malik Boudiaf Jérôme Rony Imtiaz Masud Ziko Eric Granger M. Pedersoli Pablo Piantanida Ismail Ben Ayed SSL 18 158 0 19 Mar 2020
A Metric Learning Reality Check Kevin Musgrave Serge J. Belongie Ser-Nam Lim 33 474 0 18 Mar 2020
Adaptive Semantic-Visual Tree for Hierarchical Embeddings Shuo Yang Wei Yu Ying Zheng H. Yao Tao Mei 28 16 0 08 Mar 2020
Informative Sample Mining Network for Multi-Domain Image-to-Image Translation Jie Cao Huaibo Huang Yi Li R. He Zhenan Sun 18 7 0 05 Jan 2020
Cross-Batch Memory for Embedding Learning Xun Wang H. Zhang Weilin Huang Matthew R. Scott 17 247 0 14 Dec 2019
Deep Distributional Sequence Embeddings Based on a Wasserstein Loss A. Abdelwahab Niels Landwehr 17 18 0 04 Dec 2019
The Group Loss for Deep Metric Learning Ismail Elezi Sebastiano Vascon Alessandro Torcinovich Marcello Pelillo Laura Leal-Taixe 14 50 0 01 Dec 2019
Unbiased Evaluation of Deep Metric Learning Algorithms István Fehérvári Avinash Ravichandran Srikar Appalaraju 6 27 0 28 Nov 2019
Instance Cross Entropy for Deep Metric Learning Xinshao Wang Elyor Kodirov Yang Hua N. Robertson 11 5 0 22 Nov 2019
Ladder Loss for Coherent Visual-Semantic Embedding Mo Zhou Zhenxing Niu Le Wang Zhanning Gao Qilin Zhang G. Hua 15 39 0 18 Nov 2019
Visual Similarity Attention Meng Zheng Srikrishna Karanam Terrence Chen Richard J. Radke Ziyan Wu 8 4 0 18 Nov 2019
Semantic Granularity Metric Learning for Visual Search Dipu Manandhar M. Bastan Kim-Hui Yap 8 11 0 14 Nov 2019
Stripe-based and Attribute-aware Network: A Two-Branch Deep Model for Vehicle Re-identification Jingjing Qian Wei Jiang Hao Luo Hongyan Yu 11 103 0 12 Oct 2019
Vehicle Re-identification with Viewpoint-aware Metric Learning Ruihang Chu Yifan Sun Yadong Li Z. Liu Chi Zhang Yichen Wei 23 171 0 09 Oct 2019
MIC: Mining Interclass Characteristics for Improved Metric Learning Karsten Roth Biagio Brattoli Bjorn Ommer 8 89 0 25 Sep 2019
Deep Metric Learning using Similarities from Nonlinear Rank Approximations Konstantin Schall Kai Uwe Barthel Nico Hezel Klaus Jung DML 15 3 0 20 Sep 2019
Part-Guided Attention Learning for Vehicle Instance Retrieval Xinyu Zhang Rufeng Zhang Jiewei Cao Dong Gong Mingyu You Chunhua Shen 29 37 0 13 Sep 2019
SoftTriple Loss: Deep Metric Learning Without Triplet Sampling Qi Qian Lei Shang Baigui Sun Juhua Hu Hao Li R. L. Jin 18 373 0 11 Sep 2019
Deep Metric Learning with Density Adaptivity Yehao Li Ting Yao Yingwei Pan Hongyang Chao Tao Mei 22 11 0 09 Sep 2019
Imbalance Problems in Object Detection: A Review Kemal Oksuz Baris Can Cam Sinan Kalkan Emre Akbas ObjD 16 457 0 31 Aug 2019
Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid Zhanghui Kuang Yiming Gao Guanbin Li Ping Luo Yimin Chen Liang Lin Wayne Zhang 13 96 0 30 Aug 2019
Fashion Image Retrieval with Capsule Networks Furkan Kinli B. Özcan Mustafa Furkan Kıraç 3DPC 12 30 0 26 Aug 2019
Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Pierre Jacob David Picard A. Histace Edouard Klein DML 17 59 0 07 Aug 2019
Hybrid-Attention based Decoupled Metric Learning for Zero-Shot Image Retrieval Binghui Chen Weihong Deng VLM FedML 22 55 0 27 Jul 2019
Hard-Aware Fashion Attribute Classification Yun Ye Yixin Li Bo Wu Wei Zhang Lingyu Duan Tao Mei AI4TS 22 5 0 25 Jul 2019
Deep Metric Learning with Alternating Projections onto Feasible Sets Ogul Can Y. Z. Gürbüz Aydin Alatan 14 5 0 17 Jul 2019
Agile Domain Adaptation Jingjing Li Mengmeng Jing Yue Xie Ke Lu Zi Huang 10 3 0 11 Jul 2019
Divide and Conquer the Embedding Space for Metric Learning A. Sanakoyeu Vadim Tschernezki U. Büchler Bjorn Ommer SSL 16 107 0 14 Jun 2019
Efficient Codebook and Factorization for Second Order Representation Learning Pierre Jacob David Picard A. Histace Edouard Klein 12 1 0 05 Jun 2019
The General Pair-based Weighting Loss for Deep Metric Learning Haijun Liu Jian Cheng Wen Wang Yanzhou Su 6 5 0 30 May 2019
Deep Metric Learning Beyond Binary Supervision Sungyeon Kim Minkyo Seo Ivan Laptev Minsu Cho Suha Kwak SSL 15 94 0 21 Apr 2019
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning Thanh-Toan Do Toan M. Tran Ian Reid B. V. Kumar Tuan Hoang G. Carneiro 12 66 0 18 Apr 2019
Improved Embeddings with Easy Positive Triplet Mining Hong Xuan Abby Stylianou Robert Pless 25 131 0 08 Apr 2019
On Learning Density Aware Embeddings Soumyadeep Ghosh Richa Singh Mayank Vatsa 6 14 0 08 Apr 2019