Video Foundation Models & Data for Multimodal Understanding
-
Updated
May 21, 2024 - Python
Video Foundation Models & Data for Multimodal Understanding
Parameter Efficient Fine-tuning of Self-supervised ViTs without Catastrophic Forgetting
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Official Code of CVPR'23 Paper "VLPD: Context-Aware Pedestrian Detection via Vision-Language Semantic Self-Supervision"
A curated list of awesome self-supervised methods
A self-supervised network for image denoising and watermark removal (Neural Networks 2024)
Efficient computing methods developed by Huawei Noah's Ark Lab
[ACL-IJCNLP 2021] Self-Supervised Multimodal Opinion Summarization
[MICCAI'23] Foundation Model for Endoscopy Video Analysis via Large-scale Self-supervised Pre-train
Code for the ICLR'24 paper "Self-supervised Representation Learning From Random Data Projectors
Library to perform image and video self-supervised learning.
[ICCV 2023] Official implementation of "SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance Fields"
[ICCV 2023] HaMuCo: Hand Pose Estimation via Multiview Collaborative Self-Supervised Learning
The official implementation for paper: Revisting the Power of Prompt for Visual Tuning
Unofficial implementation of DocMAE (WIP): Document Image Rectification via Self-supervised Representation Learning
Official implementation of "Augmentation-aware Self-supervised Learning with Conditioned Projector"
[ISBI 2024] FuseNet: Self-Supervised Dual-Path Network for Medical Image Segmentation
Source code for the ICCV 2023 paper: Robust Monocular Depth Estimation under Challenging Conditions
Self-supervised models for encoding protein localization patterns from microscopy images
[ICCV 2023] Code base for Revisiting Scene Text Recognition: A Data Perspective
Add a description, image, and links to the self-supervised topic page so that developers can more easily learn about it.
To associate your repository with the self-supervised topic, visit your repo's landing page and select "manage topics."