PDF to Markdown with vision models

Pytorch implementation for Semantic Segmentation with multi models (Deeplabv3, Deeplabv3_plus, PSPNet, UNet, UNet_AutoEncoder, UNet_nested, R2AttUNet, AttentionUNet, RecurrentUNet,, SEGNet, CENet, …

Code for AAAI 2018 accepted paper: "Beyond Sparsity: Tree Regularization of Deep Models for Interpretability"

The infant video dataset collected from Youtube with body parsing annotations.

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

This is the source code repository of: "ProtoMix: Augmenting Health Status Representation Learning via Prototype-based Mixup" (KDD-2024)

Code repo for "FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation" (ICCV 2021)

This is a list of awesome methods about data augmentation.

PyTorch code for the paper: "FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning"

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.

A toolkit for machine learning from time series

Collection of AWESOME vision-language models for vision tasks

The Patterns of Scalable, Reliable, and Performant Large-Scale Systems

Kolors Team

CosmicMan: A Text-to-Image Foundation Model for Humans (CVPR 2024)

This is an official pytorch implementation of Lite-HRNet: A Lightweight High-Resolution Network.

Train the HRNet model on ImageNet

High-Resolution Image Synthesis with Latent Diffusion Models

(ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.

Versatile Diffusion: Text, Images and Variations All in One Diffusion Model, arXiv 2022 / ICCV 2023

[CVPR'22] Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation

Challenges in Video-Based Infant Action Recognition: A Critical Examination of the State of the Art (WACVW'24)

Invariant representation learning for infant pose estimation with small data (FG2021)

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

Computer Vision to the Rescue: Infant Postural Symmetry Estimation from Incongruent Annotations (WACV2023))