wgcban

adamae

[CVPR'23] AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning with Masked Autoencoders

apt

PyTorch Implementation of Attention Prompt Tuning: Parameter-Efficient Adaptation of Pre-Trained Models for Action Recognition

ChangeFormer

[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection

ddpm-cd

Remote Sensing Change Detection using Denoising Diffusion Probabilistic Models

DIP-HyperKite

[IEEE TGRS] DIP-HyperKite: Hyperspectral Pansharpening Based on Improved Deep Image Prior and Residual Reconstruction

HyperTransformer

[CVPR'22] HyperTransformer: A Textural and Spectral Feature Fusion Transformer for Pansharpening

Metric-CD

Official PyTorch implementation of Deep Metric Learning for Unsupervised Change Detection in Remote Sensing Images

mix-bt

Official PyTorch Implementation of Guarding Barlow Twins Against Overfitting with Mixed Samples

SemiCD

Revisiting Consistency Regularization for Semi-supervised Change Detection in Remote Sensing Images

SPIN_RoadMapper

Official implementation of our ICRA'22 paper: SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous Driving

wgcban/ChangeFormer

[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection

wgcban/ddpm-cd

Remote Sensing Change Detection using Denoising Diffusion Probabilistic Models

wgcban/HyperTransformer

[CVPR'22] HyperTransformer: A Textural and Spectral Feature Fusion Transformer for Pansharpening

wgcban/SemiCD

Revisiting Consistency Regularization for Semi-supervised Change Detection in Remote Sensing Images

wgcban/SPIN_RoadMapper

Official implementation of our ICRA'22 paper: SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous Driving

wgcban/adamae

[CVPR'23] AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning with Masked Autoencoders

wgcban/Metric-CD

Official PyTorch implementation of Deep Metric Learning for Unsupervised Change Detection in Remote Sensing Images

wgcban/apt

PyTorch Implementation of Attention Prompt Tuning: Parameter-Efficient Adaptation of Pre-Trained Models for Action Recognition

wgcban/mix-bt

Official PyTorch Implementation of Guarding Barlow Twins Against Overfitting with Mixed Samples

wgcban/RS-Foundation-Models

wgcban/mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

wgcban/sam-dino-cd

wgcban/DiffuseDenoiseCount

wgcban/PACMAC

Pytorch code for Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency (NeurIPS 2022)

wgcban/RoCoG-v2

RoCoG-v2 (Robot Control Gestures) is a dataset intended to support the study of synthetic-to-real and ground-to-air video domain adaptation.

wgcban/UniteandConquer

[CVPR '23] Unite and Conquer: Plug & Play Multi-Modal Synthesis using Diffusion Models

wgcban/Adapters

LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

wgcban/cvpr-author-kit

wgcban/lightly

A python library for self-supervised learning on images.

wgcban/llama

Inference code for LLaMA models

wgcban/Llama-2

All the projects related to Llama

wgcban/MNN

wgcban/omnivore

Omnivore: A Single Model for Many Visual Modalities

wgcban/pixelnerf

Minimal PyTorch implementations of NeRF and pixelNeRF.

wgcban/sam-low-rank-features

Sharpness-Aware Minimization Leads to Low-Rank Features [arXiv, May 2023]

wgcban/ssl-video

State-of-the-art Self-Supervised Video Representation Learning Methods

wgcban/TorchPQ

Approximate nearest neighbor search with product quantization on GPU in pytorch and cuda

wgcban/trivialaugment

This is the official implementation of TrivialAugment and a mini-library for the application of multiple image augmentation strategies including RandAugment and TrivialAugment.

wgcban/vissl

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

wgcban/wgcban

Config files for my GitHub profile.