nishangxie

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

CodeFormer

[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer

open_clip

An open source implementation of CLIP.

sam

SAM: Sharpness-Aware Minimization (PyTorch)

CoOp

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

LibFewShot

LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.

Efficient-3DCNNs

PyTorch Implementation of "Resource Efficient 3D Convolutional Neural Networks", codes and pretrained models.

Tip-Adapter

cross_modal_adaptation

Cross-modal few-shot adaptation with CLIP

RemoteCLIP

🛰️ Official repository of paper "RemoteCLIP: A Vision Language Foundation Model for Remote Sensing" (IEEE TGRS)

RSMamba

This is the pytorch implement of the paper "RSMamba: Remote Sensing Image Classification with State Space Model"

cvpr2020-plant-pathology

pmf_cvpr22

RaySAR

RaySAR is a 3D synthetic aperture radar (SAR) simulator which enables to generate SAR image layers related to detailed 3D object models. Moreover, it enables one to localize the 3D positions and surface intersection points related to reflected radar signals. In particular, RaySAR helps to understand the nature of signal multiple reflections at man-made objects (e.g. building structures) or artificial shapes. Scene models with different levels of detail can be processed - from digital surface models (DSMs) to high-end 3D structures - which can be defined in relative or absolute world coordinates. RaySAR can be run on Windows / Linux and is based on an adapted version of the open-source ray tracer POV-Ray.

IEEE_TPAMI_SpectralGPT

Hong, D., Zhang, B., Li, X., Li, Y., Li, C., Yao, J., Yokoya, N., Li, H., Ghamisi, P., Jia, X., Plaza, A. and Gamba, P., Benediktsson, J., Chanussot, J. (2024). SpectralGPT: Spectral remote sensing foundation model. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024. DOI:10.1109/TPAMI.2024.3362475.

Remote-Sensing-in-CVPR2024

Papers related to remote sensing in CVPR 2024

Awesome-Prompt-Adapter-Learning-for-Vision-Language-Models

A curated list of prompt/adapter learning methods for vision-language models.

dnn-gating

Conditional channel- and precision-pruning on neural networks

VGSE

Proto-CLIP

Code release for Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning

XAI4SAR-PGIL

The physics guided and injected learning NN for SAR image patch-wise classification

GDA

Code repository for the CVPR 2024 paper "Parameter Efficient Self-supervised Geospatial Domain Adaptation".

PIHA

An official implementation for "Physics Inspired Hybrid Attention for SAR Target Recognition"

DM-MRN

A DEMO for "Multistage Relation Network With Dual-Metric for Few-Shot Hyperspectral Image Classification" (Zeng et al., TGRS, 2023)

A_Dual-polarimetric_SAR_Ship_Detection_Dataset

CNSPN

code of CNSPN

DSCR

DSCR Dataset and the benchmark algorithms

SDFA

HCLNet

Mada-SGD

A novel optimization-based meta learning algorithm for few-shot SAR target recognition.