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[IEEE TIP] TOPIC: A Parallel Association Paradigm for Multi-Object Tracking under Complex Motions and Diverse Scenes
Efficient vision foundation models for high-resolution generation and perception.
LightGlue: Local Feature Matching at Light Speed (ICCV 2023)
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
Labeling tool with SAM(segment anything model),supports SAM, SAM2, sam-hq, MobileSAM EdgeSAM etc.交互式半自动图像标注工具
Official Python implementation of the 'Sparse deconvolution'-v0.3.0
SRDTrans: Spatial redundancy transformer for self-supervised fluorescence image denoising
DEEP-squared: Deep Learning Powered De-scattering with Excitation Patterning
Tensorflow/keras implementation for image transformation from low-resolution (LR) image to super-resolved one, including single wide-field (WF) image super-resolution prediction and SIM reconstruct…
Perception-Oriented Single Image Super-Resolution using Optimal Objective Estimation
Second-order Attention Network for Single Image Super-resolution (CVPR-2019)
kalman filter lucas kanades algorithm
A curated list of video stabilization methods
Learn OpenCV : C++ and Python Examples
[arXiv] The official code for "UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion Segmentation".
The offical implementation of "Lightweight Image Super-Resolution with Superpixel Token Interaction" (ICCV2023)
PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
Using modified BiSeNet for face parsing in PyTorch
Automatic exposure algorithm based on frame difference method
[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
StarDist - Object Detection with Star-convex Shapes
Biologically-informed deep learning for cell segmentation of subcelluar spatial transcriptomics data