jzchenriver

MCMCDA

Markov Chain Monte Carlo Data Association for Multi-Target Tracking

SRAL

This repository is about the work of "Distilling Knowledge From Super-Resolution for Efficient Remote Sensing Salient Object Detection" in IEEE TGRS 2023.

RFS_tracking

Implementations of some multi-object trackers based on random finite set theory

statecircle-python

Random finite sets based multi object tracking framework

DSRL

Implementation of CVPR 2020 Dual Super-Resolution Learning for Semantic Segmentation

Image_Tracking

Tracking before detection is realized by some filtering methods

DeepPBM

DeepPBM: Deep Probabilistic Background Model Estimation from Video Sequences (DLPR 2020)

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

holoconet

[GRSL] Holistic Modularization of Local Contrast in the End-to-end Network for Infrared Small Target Detection

PDEN

DIGA

Official implementation for Dynamically Instance-Guided Adaptation: A Backward-free Approach for Test-Time Domain Adaptive Semantic Segmentation

Learning_to_diversify

loss-landscapes

Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch

RPCANet

[WACV2024] Official implementation of paper "RPCANet: Deep Unfolding RPCA Based Infrared Small Target Detection".

PAD

PyTorch implementation of the paper "PAD：Self-Supervised Pre-Training with Patchwise-Scale Adapter for Infrared Images"

LipschitzMLP_SIGGRAPH_Demo

SIGGRAPH 2022 Labs Demo for "Learning Smooth Neural Functions via Lipschitz Regularization"

Local-Lipschitz-Constants

[NeurIPS 2022] Code for paper "Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation"

Mixup-LR

awesome-test-time-adaptation

Collection of awesome test-time (domain/batch/instance) adaptation methods

oasis

Code for the paper "On the Road to Online Adaptation for Semantic Image Segmentation", CVPR 2022

PLPB

Datasets & Code for the WACV 2024 paper 'Robust Source-Free Domain Adaptation for Fundus Image Segmentation'

test-time-adaptation

A repository and benchmark for online test-time adaptation.

DomainAdaptor

ASAM

Implementation of ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks, ICML 2021.

Imbalanced_SAM

The offical implement of ImbSAM (Imbalanced-SAM)

TTA

tta_bot

Code for Bag of Tricks for Fully Test-Time Adaptation

CoSDA

The official implementation of our work CoSDA: Continual Source-Free Domain Adaptation.

SLAug

[AAAI 2023] Official PyTorch implementation of the paper "SLAug: Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentation"

BOML

Bilevel Optimization Library in Python for Multi-Task and Meta Learning