Implementation for paper 'Coreset Selection via Reducible Loss in Continual Learning'

Implementation of paper 'Model inversion with layer-specific modeling and alignment for data-free continual learning'

Official implementation of "Adaptive Rank, Reduced Forgetting: Knowledge Retention in Continual Learning Vision-Language Models with Dynamic Rank-Selective LoRA"

This is official code repository for "Learning with Mixture of Prototypes for Out-of-Distribution Detection", accepted at ICLR2024

Graph Neural Network Library for PyTorch

Attention-guided Network for Ghost-free High Dynamic Range Imaging

Self-Training with Progressive Augmentation for Unsupervised Cross-Domain Person Re-identification (ICCV2019)

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset