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2023tpami-fcag

(2023)TPAMI"Fast Clustering with Anchor Guidance" is accepted by TPAMI

bm3d-denoise

Using BM3D to denoise

c-

C语言基础知识

caiss

一款简单好用的 跨平台/多语言的 相似向量/相似词/相似句 高性能检索引擎。欢迎star & fork。Build together! Power another !

cartographer

Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

centerlessclustering

cyj

dedode-onnx-tensorrt

ONNX-compatible DeDoDe 🎶 Detect, Don't Describe - Describe, Don't Detect, for Local Feature Matching. Supports TensorRT 🚀

graph-based-image-segmentation

Implementation of efficient graph-based image segmentation as proposed by Felzenswalb and Huttenlocher [1] that can be used to generate oversegmentations.

guidedmixup

Official PyTorch implementation of "GuidedMixup An Efficient Mixup Strategy Guided by Saliency Maps" (AAAI'23 Oral)

hdr-tone_mapping

Implementation of "Fast bilateral filtering for the display of high-dynamic-range images"

image-segmentation-using-normalized-cuts-method

MATLAB implementations of multiple functions that: find the affinity matrix that describes a graph of an image, perform Graph Spectral Clustering, calculate the normalized cuts value and perform the complete recursive normalized cuts method.

kcfcpp

C++ Implementation of KCF Tracker

learning-opencv-3_examples

libsvm

neighbor2neighbor

Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images

pegbis

Python implementation of "Efficient Graph-Based Image Segmentation" paper

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

real-time-image-smoothing-via-iterative-least-squares

This is the released code for the paper Real-time Image Smoothing via Iterative Least Squares accepted to ACM Transactions on Graphics

recursive-bf

A lightweight C++ library for recursive bilateral filtering [Yang, Qingxiong. "Recursive bilateral filtering". European Conference on Computer Vision, 2012].

saliencymix

SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization

sci

[CVPR 2022] This is the official code for the paper "Toward Fast, Flexible, and Robust Low-Light Image Enhancement".

selective_search_py

Python-based implementation of the Selective Search for Object Recognition.

srcnn-pytorch

PyTorch implementation of Image Super-Resolution Using Deep Convolutional Networks (ECCV 2014)

supergluepretrainednetwork

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

yolov5_obb

yolov5 + csl_label.(Oriented Object Detection)（Rotation Detection）（Rotated BBox）基于yolov5的旋转目标检测

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors