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clash-verge-rev

Continuation of Clash Verge - A Clash Meta GUI based on Tauri (Windows, MacOS, Linux)

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

ffmpeg-python

Python bindings for FFmpeg - with complex filtering support

Student-resources

本文介绍的是利用学生、教职工身份可以享受到的相关学生优惠、教育优惠或教师优惠的权益，但也希望各位享受权利的同时不要忘记自己的义务，不要售卖、转手自己的学生优惠、教育优惠的资格，使得其他同学无法受益。

ViVe

C# library and console app for using new feature control APIs available in Windows 10 version 2004 and newer

GoogleTranslateIpCheck

LightGlue

LightGlue: Local Feature Matching at Light Speed (ICCV 2023)

anylabeling

Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2), MobileSAM!!

detrex

detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.

data-augmentation-review

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.

awesome-segment-anything

Tracking and collecting papers/projects/others related to Segment Anything.

finetune-anything

Fine-tune SAM (Segment Anything Model) for computer vision tasks such as semantic segmentation, matting, detection ... in specific scenarios

Awesome-Embeded-AI

收集关于嵌入式领域的机器学习算法实现的进展、相关论文和文章、开发库等，帮助初学者快速了解、学习和入门嵌入式领域的机器学习。CC-BY-NC-SA 4.0。

DA_Detection_Material

A Collection of Domain Adaptation for Object Detection Material

yolov5_ros

A complete ROS interface for running YOLOv5 inference

Elastic-Tracker

Elastic Tracker: A Spatio-temporal Trajectory Planner Flexible Aerial Tracking

ECCV22-P3AFormer-Tracking-Objects-as-Pixel-wise-Distributions

The official code for our ECCV22 oral paper: tracking objects as pixel-wise distributions.

Datasets-and-benchmark-code

LSOTB-TIR

LSOTB-TIR: A Large-Scale High-Diversity Thermal Infrared Object Tracking Benchmark (ACM MM2020)

mmyolo_tensorrt

V2L-Tokenizer

Anti-UAV

Served as a large-scale multi-modal benchmark, Anti-UAV drives the future research on the frontiers of tracking UAVs in the wild. With the above innovations and contributions, we have organized the CVPR 2020 Workshop on the 1st Anti-UAV Challenge. These contributions together significantly benefit the community.

HA_deblur

Human-Aware Motion Deblurring (ICCV2019)

ffmpeg-generator

Python bindings for FFmpeg - with almost all filters support, even `gltransition` filter.

RaspberryPi_SmartCarV1

基于树莓派制作智能小车（H5页面操作移动+实时显示摄像头内容+各类传感器）

Anti-UAV410

The benchmark of AntiUAV410.

MMNet

Multi-Task Driven Feature Models for Thermal Infrared Tracking (AAAI2020)

MRT-release

Official implementation of paper: Masked Retraining Teacher-student Framework for domain adaptive object detection. (ICCV2023)

detectInBlur

Code for the CVPR 2021 paper "Improved Handling of Motion Blur in Online Object Detection"

Decoupled-Knowledge-with-Ensemble-Learning-for-Online-Distillation