Official Implementation of CVPR24 highligt paper: Matching Anything by Segmenting Anything
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Updated
Nov 7, 2024 - Python
Official Implementation of CVPR24 highligt paper: Matching Anything by Segmenting Anything
Self-Supervision for Named Entity Disambiguation at the Tail
[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
[ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
[ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
[MedIA2022 & ICRA2021] Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue
Learning trajectory representations using self-supervision and programmatic supervision.
Unofficial Implementation: Learning Self-Consistency for Deepfake Detection
Authors official PyTorch implementation of the "Self-Supervised Video Similarity Learning" [CVPRW 2023]
Self-Supervised RGBD Reconstruction from Brain Activity
[ICLR 2023] Link Prediction with Non-Contrastive Learning
Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability". Accepted at ML4H Symposium 2021 with an oral spotlight!
Implementation of `Objects that Sound` and `Look, Listen, and Learn` papers by Relja Arandjelovi´c and Andrew Zisserman
Robust Iterative Data Estimation (RIDE)
Domain adaptation in real-time semantic segmentation. Project for the course Advanced Machine Learning.
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