Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)

Hard Sample Aware Noise Robust Learning forHistopathology Image Classification

Pre-trained Multimodal Large Language Model Enhances Dermatological Diagnosis using SkinGPT-4

[TIP2024] Task-specific normalization for continual learning of blind image quality models

[Neurips 24 Spotlight] Training in Pairs + Inference on Single Image with Anchors

Adaptive Mixed-Scale Feature Fusion Network for Blind AI-Generated Image Quality Assessment

NIMA: Neural IMage Assessment

Official implementation for "Image Quality Assessment using Contrastive Learning"

[AAAI 2023] Exploring CLIP for Assessing the Look and Feel of Images

TPAMI2023 & CVPR2022 - Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning & Learn From Others and Be Yourself in Heterogeneous Federated Learning

This repository contains the code for the paper accepted by ICCV-2023: PGFed: Personalize Each Client’s Global Objective for Federated Learning.

38 traditional FL (tFL) or personalized FL (pFL) algorithms, 3 scenarios, and 24 datasets. www.pfllib.com/

Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)

FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.

AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning

[ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization

Personalized federated learning codebase for research

[TMI'22] Personalized Retrogress-Resilient Federated Learning Towards Imbalanced Medical Data

Handy PyTorch implementation of Federated Learning (for your painless research)

An experimental Pytorch implementation of Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network

No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency

The repository for 'Uncertainty-aware blind image quality assessment in the laboratory and wild' and 'Learning to blindly assess image quality in the laboratory and wild'

Source code for the CVPR'20 paper "Blindly Assess Image Quality in the Wild Guided by A Self-Adaptive Hyper Network"

[ECCV2022, TPAMI2023] FAST-VQA, and its extended version FasterVQA.