The source code for the paper: Distribution-Aware and Class-Adaptive Aggregation for Few-Shot Hyperspectral Image Classification（TGRS2024）

The source code for the paper: Self-Supervised Learning for Rolling Shutter Temporal Super-Resolution (IEEE TCSVT 2024)

The source code for the paper: Unified Video Reconstruction for Rolling Shutter and Global Shutter Cameras (IEEE TIP 2024)

The official project website of "Omni-Dimensional Dynamic Convolution" (ODConv for short, spotlight in ICLR 2022).

source codes of "Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency Detection" (ICCV2021)

Official code of the paper "Few-Shot Object Detection via Variational Feature Aggregation" (AAAI 2023)

Hyperspectral-Classification Pytorch

Code for SCAResNet: A ResNet Variant Optimized for Tiny Object Detection in Transmission and Distribution Towers. IEEE Geoscience and Remote Sensing Letters.

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

ICAFusion: Iterative Cross-Attention Guided Feature Fusion for Multispectral Object Detection, Pattern Recognition

[CVPR 2023] This repository is the official PyTorch implementation of "Deep Discriminative Spatial and Temporal Network for Efficient Video Deblurring".

Object detection and instance segmentation dataset for VHR remote sensing images further marked on the NWPU VHR-10 dataset and SSDD dataset according to the standard coco dataset.

Matlab demos for a novel hyperspectral image processing method.

M2SODAI: Multi-Modal Ship and Floating Matter Detection Image Dataset With RGB and Hyperspectral Image Sensors

Graph Information Aggregation Cross-domain Few-shot Learning for Hyperspectral Image Classification. IEEE TNNLS, 2022.

收录及复现的高光谱遥感图像分类模型

Yolov5 distillation training | Yolov5知识蒸馏训练，支持训练自己的数据

Official implementations for paper: Anydoor: zero-shot object-level image customization

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

基于face_recognition以及milvus 的人脸识别编码相似查询web api

The source code for the paper: Joint Appearance and Motion Learning for Efficient Rolling Shutter Correction (CVPR2023)

The source code for the paper: SUNet: Symmetric Undistortion Network for Rolling Shutter Correction (ICCV2021)

The source code for the paper: Context-Aware Video Reconstruction for Rolling Shutter Cameras (CVPR2022)

The source code for the paper: Inverting a Rolling Shutter Camera: Bring Rolling Shutter Images to High Framerate Global Shutter Video (ICCV2021, TPAMI2023)