Exploring Simple Siamese Representation Learning

20 November 2020

Papers citing "Exploring Simple Siamese Representation Learning"

50 / 2,316 papers shown

Title
A Closer Look at Few-shot Classification Again Xu Luo Hao Wu Ji Zhang Lianli Gao Jing Xu Jingkuan Song 39 48 0 28 Jan 2023
Deciphering the Projection Head: Representation Evaluation Self-supervised Learning Jiajun Ma Tianyang Hu Wei Cao 46 8 0 28 Jan 2023
Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction Zuobai Zhang Minghao Xu A. Lozano Vijil Chenthamarakshan Payel Das Jian Tang DiffM 37 19 0 28 Jan 2023
Cross-Architectural Positive Pairs improve the effectiveness of Self-Supervised Learning P. Singh Jacopo Cirrone SSL 65 0 0 27 Jan 2023
Understanding Self-Supervised Pretraining with Part-Aware Representation Learning Jie Zhu Jiyang Qi Mingyu Ding Xiaokang Chen Ping Luo Xinggang Wang Wenyu Liu Leye Wang Jingdong Wang SSL 49 8 0 27 Jan 2023
$Optical Flow Estimation in 360$^\circ$ Videos: Dataset, Model and Application$ Optical Flow Estimation in 360 $^\circ$ Videos: Dataset, Model and Application Bin Duan Keshav Bhandari Gaowen Liu Yan Yan 29 0 0 27 Jan 2023
Leveraging the Third Dimension in Contrastive Learning Sumukh K Aithal Anirudh Goyal Alex Lamb Yoshua Bengio Michael C. Mozer MDE 45 0 0 27 Jan 2023
Voting from Nearest Tasks: Meta-Vote Pruning of Pre-trained Models for Downstream Tasks Haiyan Zhao Tianyi Zhou Guodong Long Jing Jiang Chengqi Zhang 48 0 0 27 Jan 2023
SNeRL: Semantic-aware Neural Radiance Fields for Reinforcement Learning D. Shim Seungjae Lee H. J. Kim 45 15 0 27 Jan 2023
Are Labels Needed for Incremental Instance Learning? Mert Kilickaya Joaquin Vanschoren CLL SSL 55 1 0 26 Jan 2023
Discriminative Entropy Clustering and its Relation to K-means and SVM Z. Zhang Yuri Boykov 16 0 0 26 Jan 2023
Cut and Learn for Unsupervised Object Detection and Instance Segmentation Xudong Wang Rohit Girdhar Stella X. Yu Ishan Misra VLM 74 163 0 26 Jan 2023
Open Problems in Applied Deep Learning M. Raissi AI4CE 65 2 0 26 Jan 2023
Self-Supervised Curricular Deep Learning for Chest X-Ray Image Classification Iván de Andrés Tamé Kirill Sirotkin Pablo Carballeira Marcos Escudero-Viñolo 47 2 0 25 Jan 2023
Triplet Contrastive Representation Learning for Unsupervised Vehicle Re-identification Fei Shen Xiaoyu Du Liyan Zhang Xiangbo Shu Jinhui Tang SSL 42 18 0 23 Jan 2023
Unifying Synergies between Self-supervised Learning and Dynamic Computation Tarun Krishna Ayush K. Rai Alexandru Drimbarean Eric Arazo Paul Albert Alan F. Smeaton Kevin McGuinness Noel E. O'Connor 41 0 0 22 Jan 2023
Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture Mahmoud Assran Quentin Duval Ishan Misra Piotr Bojanowski Pascal Vincent Michael G. Rabbat Yann LeCun Nicolas Ballas SSL AI4TS MDE 44 333 0 19 Jan 2023
ViT-AE++: Improving Vision Transformer Autoencoder for Self-supervised Medical Image Representations Chinmay Prabhakar Hongwei Bran Li Jiancheng Yang Suprosana Shit Benedikt Wiestler Bjoern Menze ViT MedIm 44 11 0 18 Jan 2023
Contrastive Learning for Self-Supervised Pre-Training of Point Cloud Segmentation Networks With Image Data A. Janda Brandon Wagstaff Edwin G. Ng J. Kelly 3DPC 51 3 0 18 Jan 2023
FewSOME: One-Class Few Shot Anomaly Detection with Siamese Networks Niamh Belton Misgina Tsighe Hagos Aonghus Lawlor Kathleen M. Curran 41 14 0 17 Jan 2023
Gated Self-supervised Learning For Improving Supervised Learning Erland Hilman Fuadi Aristo Renaldo Ruslim Putu Wahyu Kusuma Wardhana N. Yudistira SSL 33 0 0 14 Jan 2023
FedSSC: Shared Supervised-Contrastive Federated Learning Sirui Hu Ling Feng Xiaohan Yang Yongchao Chen FedML 57 4 0 14 Jan 2023
A Survey on Self-supervised Learning: Algorithms, Applications, and Future Trends Jie Gui Tuo Chen Jing Zhang Qiong Cao Zhe Sun Haoran Luo Dacheng Tao 36 134 0 13 Jan 2023
CLIP the Gap: A Single Domain Generalization Approach for Object Detection Vidit Vidit Martin Engilberge Mathieu Salzmann VLM ObjD 35 76 0 13 Jan 2023
Learning to Summarize Videos by Contrasting Clips Ivan Sosnovik A. Moskalev Cees Kaandorp A. Smeulders 33 0 0 12 Jan 2023
SemPPL: Predicting pseudo-labels for better contrastive representations Matko Bovsnjak Pierre Harvey Richemond Nenad Tomašev Florian Strub Jacob Walker Felix Hill Lars Buesing Razvan Pascanu Charles Blundell Jovana Mitrović SSL VLM 59 9 0 12 Jan 2023
CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIP Runnan Chen Youquan Liu Lingdong Kong Xinge Zhu Yuexin Ma Yikang Li Yuenan Hou Yu Qiao Wenping Wang CLIP 3DPC 56 140 0 12 Jan 2023
Self-supervised Learning for Segmentation and Quantification of Dopamine Neurons in Parkinson's Disease F. Haghighi Soumitra Ghosh Hai Ngu Sarah Chu Han Lin Mohsen Hejrati Baris Bingol Somaye Hashemifar 31 2 0 11 Jan 2023
Generative-Contrastive Learning for Self-Supervised Latent Representations of 3D Shapes from Multi-Modal Euclidean Input Chengzhi Wu Julius Pfrommer Mingyuan Zhou Jürgen Beyerer SSL 33 5 0 11 Jan 2023
Heterogeneous Tri-stream Clustering Network Xiao-Xue Deng Dong Huang Chang-Dong Wang 32 9 0 11 Jan 2023
GraVIS: Grouping Augmented Views from Independent Sources for Dermatology Analysis Hong-Yu Zhou Chi-Ken Lu Liansheng Wang Yizhou Yu OOD 27 0 0 11 Jan 2023
Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling Keyu Tian Yi Jiang Qishuai Diao Chen Lin Liwei Wang Zehuan Yuan 41 101 0 09 Jan 2023
Learning the Relation between Similarity Loss and Clustering Loss in Self-Supervised Learning Jidong Ge YuXiang Liu Jie Gui Lanting Fang Ming Lin James T. Kwok LiGuo Huang B. Luo SSL 32 5 0 08 Jan 2023
Transferring Pre-trained Multimodal Representations with Cross-modal Similarity Matching Byoungjip Kim Sun Choi Dasol Hwang Moontae Lee Honglak Lee 41 11 0 07 Jan 2023
Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training Filip Radenovic Abhimanyu Dubey Abhishek Kadian Todor Mihaylov Simon Vandenhende Yash J. Patel Y. Wen Vignesh Ramanathan D. Mahajan VLM 45 82 0 05 Jan 2023
Learning by Sorting: Self-supervised Learning with Group Ordering Constraints Nina Shvetsova Felix Petersen Anna Kukleva Bernt Schiele Hilde Kuehne SSL 56 13 0 05 Jan 2023
Event Camera Data Pre-training Yan Yang Liyuan Pan Liu Liu 28 33 0 05 Jan 2023
Learning Decorrelated Representations Efficiently Using Fast Fourier Transform Yutaro Shigeto Masashi Shimbo Yuya Yoshikawa A. Takeuchi 27 0 0 04 Jan 2023
MoBYv2AL: Self-supervised Active Learning for Image Classification Razvan Caramalau Binod Bhattarai Danail Stoyanov Tae-Kyun Kim SSL 40 7 0 04 Jan 2023
Ego-Only: Egocentric Action Detection without Exocentric Transferring Huiyu Wang Mitesh Singh Lorenzo Torresani EgoV 94 25 0 03 Jan 2023
A New Perspective to Boost Vision Transformer for Medical Image Classification Yuexiang Li Yawen Huang Nanjun He Kai Ma Yefeng Zheng ViT MedIm 36 3 0 03 Jan 2023
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders Sanghyun Woo Shoubhik Debnath Ronghang Hu Xinlei Chen Zhuang Liu In So Kweon Saining Xie SyDa 111 744 0 02 Jan 2023
PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image Analysis Hong-Yu Zhou Chi-Ken Lu Chaoqi Chen Sibei Yang Yizhou Yu 56 53 0 02 Jan 2023
Learning Invariance from Generated Variance for Unsupervised Person Re-identification Hao Chen Yaohui Wang Benoit Lagadec A. Dantcheva Francois Bremond GAN 20 25 0 02 Jan 2023
Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labels Yikai Wang Yanwei Fu Xinwei Sun NoLa 57 8 0 02 Jan 2023
HiTeA: Hierarchical Temporal-Aware Video-Language Pre-training Qinghao Ye Guohai Xu Ming Yan Haiyang Xu Qi Qian Ji Zhang Fei Huang VLM AI4TS 188 71 0 30 Dec 2022
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning Colorado Reed Ritwik Gupta Shufan Li S. Brockman Christopher Funk Brian Clipp Kurt Keutzer Salvatore Candido M. Uyttendaele Trevor Darrell 129 177 0 30 Dec 2022
Curator: Creating Large-Scale Curated Labelled Datasets using Self-Supervised Learning Tarun Narayanan Ajay Krishnan Anirudh Koul Siddha Ganju SSL 13 1 0 28 Dec 2022
Swin MAE: Masked Autoencoders for Small Datasets Zián Xu Yin Dai Fayu Liu Weibin Chen Yue Liu Li-Li Shi Sheng Liu Yuhang Zhou SyDa MedIm ViT 65 28 0 28 Dec 2022
A Clustering-guided Contrastive Fusion for Multi-view Representation Learning Guanzhou Ke Guoqing Chao Xiaoli Wang Chenyang Xu Yong-Nan Zhu Yang Yu SSL 30 18 0 28 Dec 2022