Poster "self-supervised learning" Papers
217 papers found • Page 4 of 5
Conference
InfMAE: A Foundation Model in The Infrared Modality
Fangcen liu, Chenqiang Gao, Yaming Zhang et al.
Information Flow in Self-Supervised Learning
Zhiquan Tan, Jingqin Yang, Weiran Huang et al.
Language Models as Semantic Indexers
Bowen Jin, Hansi Zeng, Guoyin Wang et al.
Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features
Thalles Silva, Helio Pedrini, Adín Ramírez Rivera
Learning Natural Consistency Representation for Face Forgery Video Detection
Daichi Zhang, Zihao Xiao, Shikun Li et al.
Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning
Jihai Zhang, Xiang Lan, Xiaoye Qu et al.
Learning to Model the World With Language
Jessy Lin, Yuqing Du, Olivia Watkins et al.
Learning Useful Representations of Recurrent Neural Network Weight Matrices
Vincent Herrmann, Francesco Faccio, Jürgen Schmidhuber
Learning Where to Look: Self-supervised Viewpoint Selection for Active Localization using Geometrical Information
Luca Di Giammarino, Boyang Sun, Giorgio Grisetti et al.
Learning with Unmasked Tokens Drives Stronger Vision Learners
Taekyung Kim, Sanghyuk Chun, Byeongho Heo et al.
Leveraging Imperfect Restoration for Data Availability Attack
YI HUANG, Jeremy Styborski, Mingzhi Lyu et al.
LiFT: A Surprisingly Simple Lightweight Feature Transform for Dense ViT Descriptors
Saksham Suri, Matthew Walmer, Kamal Gupta et al.
Look Ahead or Look Around? A Theoretical Comparison Between Autoregressive and Masked Pretraining
Qi Zhang, Tianqi Du, Haotian Huang et al.
MacDiff: Unified Skeleton Modeling with Masked Conditional Diffusion
Lehong Wu, Lilang Lin, Jiahang Zhang et al.
MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions
Kai Zhang, Yi Luan, Hexiang Hu et al.
Matrix Information Theory for Self-Supervised Learning
Yifan Zhang, Zhiquan Tan, Jingqin Yang et al.
MF-CLR: Multi-Frequency Contrastive Learning Representation for Time Series
Jufang Duan, Wei Zheng, Yangzhou Du et al.
Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth Estimation
Hoang Chuong Nguyen, Tianyu Wang, Jose M. Alvarez et al.
Multistain Pretraining for Slide Representation Learning in Pathology
Guillaume Jaume, Anurag J Vaidya, Andrew Zhang et al.
Neural Volumetric World Models for Autonomous Driving
Zanming Huang, Jimuyang Zhang, Eshed Ohn-Bar
NICP: Neural ICP for 3D Human Registration at Scale
Riccardo Marin, Enric Corona, Gerard Pons-Moll
Non-transferable Pruning
Ruyi Ding, Lili Su, A. Adam Ding et al.
On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition
Zihu Wang, Lingqiao Liu, Scott Ricardo Figueroa Weston et al.
On Pretraining Data Diversity for Self-Supervised Learning
Hasan Abed El Kader Hammoud, Tuhin Das, Fabio Pizzati et al.
OP-Align: Object-level and Part-level Alignment for Self-supervised Category-level Articulated Object Pose Estimation
Yuchen Che, Ryo Furukawa, Asako Kanezaki
PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers
Ananthu Aniraj, Cassio F. Dantas, Dino Ienco et al.
PhysPT: Physics-aware Pretrained Transformer for Estimating Human Dynamics from Monocular Videos
Yufei Zhang, Jeffrey Kephart, Zijun Cui et al.
PointOBB: Learning Oriented Object Detection via Single Point Supervision
Junwei Luo, Xue Yang, Yi Yu et al.
Pose-Aware Self-Supervised Learning with Viewpoint Trajectory Regularization
Jiayun Wang, Yubei Chen, Stella Yu
ProDepth: Boosting Self-Supervised Multi-Frame Monocular Depth with Probabilistic Fusion
Sungmin Woo, Wonjoon Lee, Woo Jin Kim et al.
Pseudo-keypoint RKHS Learning for Self-supervised 6DoF Pose Estimation
Yangzheng Wu, Michael Alan Greenspan
Repoformer: Selective Retrieval for Repository-Level Code Completion
Di Wu, Wasi Ahmad, Dejiao Zhang et al.
Revisit Event Generation Model: Self-Supervised Learning of Event-to-Video Reconstruction with Implicit Neural Representations
Zipeng Wang, yunfan lu, LIN WANG
Revisiting Supervision for Continual Representation Learning
Daniel Marczak, Sebastian Cygert, Tomasz Trzcinski et al.
RoDUS: Robust Decomposition of Static and Dynamic Elements in Urban Scenes
Thang-Anh-Quan Nguyen, Luis G Roldao Jimenez, Nathan Piasco et al.
RoofDiffusion: Constructing Roofs from Severely Corrupted Point Data via Diffusion
Kyle Lo, Jorg Peters, Eric Spellman
Rotated Orthographic Projection for Self-Supervised 3D Human Pose Estimation
YAO YAO, Yixuan Pan, Wenjun Shi et al.
Rotation-Agnostic Image Representation Learning for Digital Pathology
Saghir Alfasly, Abubakr Shafique, Peyman Nejat et al.
Scaling Down Deep Learning with MNIST-1D
Sam Greydanus, Dmitry Kobak
Scaling Speech Technology to 1,000+ Languages
Vineel Pratap Konduru, Andros Tjandra, Bowen Shi et al.
SelfGeo: Self-supervised and Geodesic-consistent Estimation of Keypoints on Deformable Shapes
Mohammad Zohaib, Luca Cosmo, Alessio Del Bue
Self-Supervised Any-Point Tracking by Contrastive Random Walks
Ayush Shrivastava, Andrew Owens
Self-Supervised Audio-Visual Soundscape Stylization
Tingle Li, Renhao Wang, Po-Yao Huang et al.
Self-Supervised Class-Agnostic Motion Prediction with Spatial and Temporal Consistency Regularizations
Kewei Wang, Yizheng Wu, Jun Cen et al.
Self-Supervised Video Desmoking for Laparoscopic Surgery
Renlong Wu, Zhilu Zhang, Shuohao Zhang et al.
Self-supervised visual learning from interactions with objects
Arthur Aubret, Céline Teulière, Jochen Triesch
SelfSwapper: Self-Supervised Face Swapping via Shape Agnostic Masked AutoEncoder
Jaeseong Lee, Junha Hyung, Sohyun Jeong et al.
SelfVC: Voice Conversion With Iterative Refinement using Self Transformations
Paarth Neekhara, Shehzeen Hussain, Rafael Valle et al.
Sequential Representation Learning via Static-Dynamic Conditional Disentanglement
Mathieu Simon, Pascal Frossard, Christophe De Vleeschouwer
SiT: Symmetry-invariant Transformers for Generalisation in Reinforcement Learning
Matthias Weissenbacher, Rishabh Agarwal, Yoshinobu Kawahara