Poster "self-supervised learning" Papers
217 papers found • Page 2 of 5
Conference
Hybrid Autoencoders for Tabular Data: Leveraging Model-Based Augmentation in Low-Label Settings
Erel Naor, Ofir Lindenbaum
Jasmine: Harnessing Diffusion Prior for Self-supervised Depth Estimation
Jiyuan Wang, Chunyu Lin, cheng guan et al.
Joint Self-Supervised Video Alignment and Action Segmentation
Ali Shah Ali, Syed Ahmed Mahmood, Mubin Saeed et al.
Large Self-Supervised Models Bridge the Gap in Domain Adaptive Object Detection
Marc-Antoine Lavoie, Anas Mahmoud, Steven L. Waslander
LayerLock: Non-collapsing Representation Learning with Progressive Freezing
Goker Erdogan, Nikhil Parthasarathy, Catalin Ionescu et al.
Learning from Synchronization: Self-Supervised Uncalibrated Multi-View Person Association in Challenging Scenes
Keqi Chen, vinkle srivastav, Didier MUTTER et al.
Learning Mask Invariant Mutual Information for Masked Image Modeling
Tao Huang, Yanxiang Ma, Shan You et al.
Masked Scene Modeling: Narrowing the Gap Between Supervised and Self-Supervised Learning in 3D Scene Understanding
Pedro Hermosilla, Christian Stippel, Leon Sick
MaskGCT: Zero-Shot Text-to-Speech with Masked Generative Codec Transformer
Yuancheng Wang, Haoyue Zhan, Liwei Liu et al.
MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning
Wenhao Gu, Li Gu, Ching Suen et al.
Minimal Semantic Sufficiency Meets Unsupervised Domain Generalization
Tan Pan, Kaiyu Guo, Dongli Xu et al.
Mitigating Spurious Features in Contrastive Learning with Spectral Regularization
Naghmeh Ghanooni, Waleed Mustafa, Dennis Wagner et al.
MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments
MATTHIEU CORD, Antonin Vobecky, Oriane Siméoni et al.
ModalTune: Fine-Tuning Slide-Level Foundation Models with Multi-Modal Information for Multi-task Learning in Digital Pathology
Vishwesh Ramanathan, Tony Xu, Pushpak Pati et al.
MoE-Gyro: Self-Supervised Over-Range Reconstruction and Denoising for MEMS Gyroscopes
Feiyang Pan, Shenghe Zheng, Chunyan Yin et al.
Morphing Tokens Draw Strong Masked Image Models
Taekyung Kim, Byeongho Heo, Dongyoon Han
MoSiC: Optimal-Transport Motion Trajectory for Dense Self-Supervised Learning
Mohammadreza Salehi, Shashanka Venkataramanan, Ioana Simion et al.
M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision
Kailai Zhou, Fuqiang Yang, Shixian Wang et al.
Mutual Effort for Efficiency: A Similarity-based Token Pruning for Vision Transformers in Self-Supervised Learning
Sheng Li, Qitao Tan, Yue Dai et al.
Neural Eulerian Scene Flow Fields
Kyle Vedder, Neehar Peri, Ishan Khatri et al.
Noise Modeling in One Hour: Minimizing Preparation Efforts for Self-supervised Low-Light RAW Image Denoising
Feiran Li, Haiyang Jiang, Daisuke Iso
PaPaGei: Open Foundation Models for Optical Physiological Signals
Arvind Pillai, Dimitris Spathis, Fahim Kawsar et al.
PathVQ: Reforming Computational Pathology Foundation Model for Whole Slide Image Analysis via Vector Quantization
Honglin Li, Zhongyi Shui, Yunlong Zhang et al.
Point-MaDi: Masked Autoencoding with Diffusion for Point Cloud Pre-training
Xiaoyang Xiao, Runzhao Yao, Zhiqiang Tian et al.
PPT: Patch Order Do Matters In Time Series Pretext Task
Jaeho Kim, Kwangryeol Park, Sukmin Yun et al.
Predicting the Energy Landscape of Stochastic Dynamical System via Physics-informed Self-supervised Learning
Ruikun Li, Huandong Wang, Qingmin Liao et al.
Prioritizing Perception-Guided Self-Supervision: A New Paradigm for Causal Modeling in End-to-End Autonomous Driving
Yi Huang, Zhan Qu, Lihui Jiang et al.
PROGRESSOR: A Perceptually Guided Reward Estimator with Self-Supervised Online Refinement
Tewodros W. Ayalew, Xiao Zhang, Kevin Y Wu et al.
Pruning All-Rounder: Rethinking and Improving Inference Efficiency for Large Vision Language Models
Wei Suo, Ji Ma, Mengyang Sun et al.
PSA-SSL: Pose and Size-aware Self-Supervised Learning on LiDAR Point Clouds
Barza Nisar, Steven L. Waslander
Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model
Jiarui Jin, Haoyu Wang, Hongyan Li et al.
Reinforced Context Order Recovery for Adaptive Reasoning and Planning
Long Ma, Fangwei Zhong, Yizhou Wang
RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data
Maxwell Xu, Jaya Narain, Gregory Darnell et al.
Resounding Acoustic Fields with Reciprocity
Zitong Lan, Yiduo Hao, Mingmin Zhao
RoMA: Scaling up Mamba-based Foundation Models for Remote Sensing
Fengxiang Wang, Yulin Wang, Mingshuo Chen et al.
S$^3$E: Self-Supervised State Estimation for Radar-Inertial System
Shengpeng Wang, Yulong Xie, Qing Liao et al.
ScaleLSD: Scalable Deep Line Segment Detection Streamlined
Zeran Ke, Bin Tan, Xianwei Zheng et al.
SceneSplat: Gaussian Splatting-based Scene Understanding with Vision-Language Pretraining
Yue Li, Qi Ma, Runyi Yang et al.
Self-Supervised Contrastive Learning is Approximately Supervised Contrastive Learning
Achleshwar Luthra, Tianbao Yang, Tomer Galanti
Self-Supervised Diffusion Models for Electron-Aware Molecular Representation Learning
Gyoung S. Na, Chanyoung Park
Self-Supervised Direct Preference Optimization for Text-to-Image Diffusion Models
Liang Peng, Boxi Wu, Haoran Cheng et al.
Self-Supervised Learning for Color Spike Camera Reconstruction
Yanchen Dong, Ruiqin Xiong, Xiaopeng Fan et al.
Self-supervised Learning of Hybrid Part-aware 3D Representations of 2D Gaussians and Superquadrics
Zhirui Gao, Renjiao Yi, Yuhang Huang et al.
SF2T: Self-supervised Fragment Finetuning of Video-LLMs for Fine-Grained Understanding
Yangliu Hu, Zikai Song, Na Feng et al.
ShapeEmbed: a self-supervised learning framework for 2D contour quantification
Anna Foix-Romero, Craig Russell, Alexander Krull et al.
SHeaP: Self-supervised Head Geometry Predictor Learned via 2D Gaussians
Liam Schoneveld, Zhe Chen, Davide Davoli et al.
SkySense V2: A Unified Foundation Model for Multi-modal Remote Sensing
Yingying Zhang, Lixiang Ru, Kang Wu et al.
SpatialDreamer: Self-supervised Stereo Video Synthesis from Monocular Input
Zhen Lv, Yangqi Long, Congzhentao Huang et al.
SSLAM: Enhancing Self-Supervised Models with Audio Mixtures for Polyphonic Soundscapes
Tony Alex, Sara Atito, Armin Mustafa et al.
SSOLE: Rethinking Orthogonal Low-rank Embedding for Self-Supervised Learning
Lun Huang, Qiang Qiu, Guillermo Sapiro