Self-Supervised Learning for SAR ATR with a Joint-Embedding Predictive Architecture

Fifty Years of SAR Automatic Target Recognition: The Road Forward （2025）

Project for paper "SAR-HUB: Pre-training, Fine-tuning, and Explaining"

Cyclical Curriculum Learning Code

Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)

Code and paper for "Minimax Curriculum Learning" (ICLR 2018)

Curriculum by Smoothing (NeurIPS 2020)

Code for MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks

[NeurIPS 2024 spotlight] Offical implementation of MSFA and release of SARDet_100K dataset for Large-Scale Synthetic Aperture Radar (SAR) Object Detection

Code implementing the experiments described in the paper "On The Power of Curriculum Learning in Training Deep Networks" by Hacohen & Weinshall (ICML 2019)

Code implementing various Curriculum Learning training strategies in order to accelerate the training convergence of CNNs used for Image Recognition tasks.

List of Curriculum Learning Papers

some bravo or inspiring research works on the topic of curriculum learning

A Foundation Model for SAR Target Recognition

A large-scale fine-grained SAR vehicle dataset and benchmark

Code to use and evaluate Probabilistic Diffusion Models for SAR and InSAR Satellite imagery

1.5−3.0× lossless training or pre-training speedup. An off-the-shelf, easy-to-implement algorithm for the efficient training of foundation visual backbones.

[ICCV 2025] Diffusion Curriculum (DisCL)

Teacher-Student Curriculum Learning code

[AAAI-2025 Oral] Official implementation of Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition

simple demo codes for Learning to Teach with Dynamic Loss Functions

Simple implementation of sar target recognition using machine learning methods

This is the implement of paper “Fan, Yang, et al. "Learning to teach." ICLR (2018).” in pytorch

Release for Improved Denoising Diffusion Probabilistic Models

DDPM and iDDPM on CIFAR10

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

Code for the paper "Scattering Model Guided Adversarial Examples for SAR Target Recognition: Attack and Defense".