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[CVPR 2023] Official implementation for "CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion."
ICCV2023 | Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation
Multispectral Object Detection with Yolov5 and Transformer
FSANet: Feature-and-Spatial-Aligned Network for Tiny Object Detection in Remote Sensing Images (TGRS 2022)
Official code library for SODA: A Large-scale Benchmark for Small Object Detection.
Computer Vision Practice with Deep Learning NTU, Spring 23, Final Projects
Edge-enhanced Feature Distillation Network for Efficient Super-Resolution (CVPRW 2022)
PyTorch implementation of EdgeFool: An Adversarial Image Enhancement Filter, ICASSP2020
A list of hyperspectral image super-solution resources collected by Junjun Jiang
The papers and results about RGB-T fusion tracking
A collection of deep learning based RGB-T-Fusion methods, codes, and datasets. The main directions involved are Multispectral Pedestrian Detection, RGB-T Aerial Object Detection, RGB-T Semantic Seg…
Calibrated and Complementary Transformer for RGB-Infrared Object Detection
TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.
Xin Wu, Danfeng Hong, Jocelyn Chanussot. Convolutional Neural Networks for Multimodal Remote Sensing Data Classification, IEEE Transactions on Geoscience and Remote Sensing, 2021.
Remote Sensing Sar-Optical Land-use Classfication Pytorch Pytorch高分辨率遥感语义分割/地物分割/地物分类
Misaligned RGB-Infrared Object Detection via Adaptive Dual-discrepancy Calibration
一些关于目标检测的脚本的改进思路代码，详细请看readme.md
🔥🔥🔥 专注于YOLO11，YOLOv8、TYOLOv12、YOLOv10、RT-DETR、YOLOv7、YOLOv5改进模型，Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀
Centralized Feature Pyramid for Object Detection
Implementation of CVPR 2020 Dual Super-Resolution Learning for Semantic Segmentation
Blueprint Separable Residual Network for Efficient Image Super-Resolution
Code for ECML PKDD 2022 paper: No More Strided Convolutions or Pooling: A Novel CNN Architecture for Low-Resolution Images and Small Objects
PyTorch implementation of Wide Activation for Efficient and Accurate Image Super-Resolution (CVPR Workshop 2018)