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Deep Residual Learning for Image Recognition
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2016
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Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
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2
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ImageNet Large Scale Visual Recognition Challenge
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2015
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Olga Russakovsky
Jia Deng
Hao Su
Jonathan Krause
Sanjeev Satheesh
Sean Ma
Zhiheng Huang
Andrej Karpathy
Aditya Khosla
Michael S. Bernstein
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2
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Simultaneous feature learning and hash coding with deep neural networks
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2015
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Hanjiang Lai
Yan Pan
Ye Liu
Shuicheng Yan
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1
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Going deeper with convolutions
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2015
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Christian Szegedy
Wei Liu
Yangqing Jia
Pierre Sermanet
Scott Reed
Dragomir Anguelov
Dumitru Erhan
Vincent Vanhoucke
Andrew Rabinovich
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1
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Aggregated Residual Transformations for Deep Neural Networks
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2017
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Saining Xie
Ross Girshick
Piotr DollĂĄr
Zhuowen Tu
Kaiming He
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1
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Deep Supervised Hashing with Triplet Labels
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2017
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Xiaofang Wang
Yi Shi
Kris Kitani
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1
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No Fuss Distance Metric Learning Using Proxies
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2017
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Yair Movshovitz-Attias
Alexander Toshev
Thomas Leung
Sergey Ioffe
Saurabh Singh
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1
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Improved Regularization of Convolutional Neural Networks with Cutout
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2017
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Terrance DeVries
Graham W. Taylor
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1
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The iNaturalist Species Classification and Detection Dataset
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2018
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Grant Van Horn
Oisin Mac Aodha
Yang Song
Yin Cui
Chen Sun
Alex Shepard
Hartwig Adam
Pietro Perona
Serge Belongie
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1
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Large-Scale Long-Tailed Recognition in an Open World
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2019
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Ziwei Liu
Zhongqi Miao
Xiaohang Zhan
Jiayun Wang
Boqing Gong
Stella X. Yu
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1
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Deep Class-Wise Hashing: Semantics-Preserving Hashing via Class-Wise Loss
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2019
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Xuefei Zhe
Shifeng Chen
Hong Yan
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1
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Deep Metric Learning via Lifted Structured Feature Embedding
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2016
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Hyun Oh Song
Yu Xiang
Stefanie Jegelka
Silvio Savarese
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1
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Learning to Hash for Indexing Big DataâA Survey
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2015
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Jun Wang
Wei Liu
Sanjiv Kumar
ShihâFu Chang
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1
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Focal Loss for Dense Object Detection
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2017
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Tsung-Yi Lin
Priya Goyal
Ross Girshick
Kaiming He
Piotr DollĂĄr
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1
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Feature Learning based Deep Supervised Hashing with Pairwise Labels
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2015
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Wu-Jun Li
Sheng Wang
Wang-Cheng Kang
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1
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Class-Balanced Loss Based on Effective Number of Samples
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2019
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Yin Cui
Menglin Jia
Tsung-Yi Lin
Yang Song
Serge Belongie
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1
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Query-Adaptive Image Retrieval by Deep-Weighted Hashing
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2018
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Jian Zhang
Yuxin Peng
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1
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HashNet: Deep Learning to Hash by Continuation
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2017
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Zhangjie Cao
Mingsheng Long
Jianmin Wang
Philip S. Yu
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1
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Proxy Anchor Loss for Deep Metric Learning
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2020
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SungâYeon Kim
Dong-Won Kim
Minsu Cho
Suha Kwak
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1
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Central Similarity Quantization for Efficient Image and Video Retrieval
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2020
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Li Yuan
Tao Wang
Xiaopeng Zhang
Francis EH Tay
Zequn Jie
Wei Liu
Jiashi Feng
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1
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Revisiting the Evaluation of Uncertainty Estimation and Its Application to Explore Model Complexity-Uncertainty Trade-Off
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2020
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Yukun Ding
Jinglan Liu
Jinjun Xiong
Yiyu Shi
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1
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BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition
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2020
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Boyan Zhou
Quan Cui
Xiu-Shen Wei
Zhao-Min Chen
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1
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M2m: Imbalanced Classification via Major-to-Minor Translation
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2020
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Jaehyung Kim
Jongheon Jeong
Jinwoo Shin
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1
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Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective
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2020
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Muhammad Abdullah Jamal
Matthew A. Brown
MingâHsuan Yang
Liqiang Wang
Boqing Gong
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1
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Momentum Contrast for Unsupervised Visual Representation Learning
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2020
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Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross Girshick
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1
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Randaugment: Practical automated data augmentation with a reduced search space
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2020
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Ekin D. Cubuk
Barret Zoph
Jonathon Shlens
Quoc V. Le
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1
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Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-Tailed Classification
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2020
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Liuyu Xiang
Guiguang Ding
Jungong Han
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1
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Feature Space Augmentation for Long-Tailed Data
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2020
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Peng Chu
Xiao Bian
Shaopeng Liu
Haibin Ling
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1
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RSG: A Simple but Effective Module for Learning Imbalanced Datasets
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2021
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Jianfeng Wang
Thomas Lukasiewicz
Xiaolin Hu
Jianfei Cai
Zhenghua Xu
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1
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Improved Deep Classwise Hashing With Centers Similarity Learning for Image Retrieval
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2021
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Ming Zhang
Hong Yan
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1
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Distribution Alignment: A Unified Framework for Long-tail Visual Recognition
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2021
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Songyang Zhang
Zeming Li
Shipeng Yan
Xuming He
Jian Sun
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1
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Deep Hashing with Hash Center Update for Efficient Image Retrieval
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2022
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Abin Jose
Daniel Filbert
Christian Rohlfing
Jens-Rainer Ohm
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1
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Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification
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2021
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Peng Wang
Kai Han
Xiu-Shen Wei
Lei Zhang
Lei Wang
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1
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Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval
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2021
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Jinpeng Wang
Bin Chen
Qiang Zhang
Zaiqiao Meng
Shangsong Liang
ShuâTao Xia
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1
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Improving Calibration for Long-Tailed Recognition
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2021
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Zhisheng Zhong
Jiequan Cui
Shu Liu
Jiaya Jia
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1
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Disentangling Label Distribution for Long-tailed Visual Recognition
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2021
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Youngkyu Hong
Seungju Han
Kwanghee Choi
Seokjun Seo
Beomsu Kim
Buru Chang
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1
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Scale-aware Automatic Augmentation for Object Detection
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2021
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Yukang Chen
Yanwei Li
Tao Kong
Lu Qi
Ruihang Chu
Lei Li
Jiaya Jia
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1
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Self Supervision to Distillation for Long-Tailed Visual Recognition
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2021
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Tianhao Li
Limin Wang
Gangshan Wu
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1
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ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in One-Shot
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2021
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Jiarui Cai
Yizhou Wang
JenqâNeng Hwang
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1
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Long-tailed Distribution Adaptation
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2021
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Zhiliang Peng
Wei Huang
Zonghao Guo
Xiaosong Zhang
Jianbin Jiao
Qixiang Ye
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1
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Optimized feature space learning for generating efficient binary codes for image retrieval
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2021
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Abin Jose
Erik Stefan Ottlik
Christian Rohlfing
Jens-Rainer Ohm
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1
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The Majority Can Help the Minority: Context-rich Minority Oversampling for Long-tailed Classification
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2022
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Seulki Park
Youngkyu Hong
Byeongho Heo
Sangdoo Yun
Jin Young Choi
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1
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Distilling Virtual Examples for Long-tailed Recognition
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2021
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Yin-Yin He
Jianxin Wu
Xiu-Shen Wei
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1
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Distributional Robustness Loss for Long-tail Learning
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2021
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Dvir Samuel
Gal Chechik
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1
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Parametric Contrastive Learning
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2021
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Jiequan Cui
Zhisheng Zhong
Shu Liu
Bei Yu
Jiaya Jia
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1
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One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective
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2021
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Jiun Tian Hoe
Kam Woh Ng
Tianyu Zhang
Chee Seng Chan
Yi-Zhe Song
Tao Xiang
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1
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Class-Balanced Distillation for Long-Tailed Visual Recognition
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2021
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Ahmet Ä°Ćcen
AndrĂ© de Melo AraĂșjo
Boqing Gong
Cordelia Schmid
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1
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Deep Learning for Instance Retrieval: A Survey
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2022
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Wei Chen
Yu Liu
Weiping Wang
Erwin M. Bakker
Theodoros Georgiou
Paul Fieguth
Li Liu
Michael S. Lew
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1
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PyTorch: An Imperative Style, High-Performance Deep Learning Library
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2019
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Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James T. Bradbury
Gregory Chanan
Trevor Killeen
Zeming Lin
Natalia Gimelshein
Luca Antiga
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1
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Balanced Contrastive Learning for Long-Tailed Visual Recognition
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2022
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Jianggang Zhu
Zheng Wang
Jingjing Chen
YiâPing Phoebe Chen
YuâGang Jiang
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1
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