fsym379624's starred repositories

PSFusion

This is official Pytorch implementation of "Rethinking the necessity of image fusion in high-level vision tasks: A practical infrared and visible image fusion network based on progressive semantic injection and scene fidelity"

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Stable-DINO

[ICCV 2023] Official implementation of the paper "Detection Transformer with Stable Matching"

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LW-DETR

This repository is an official implementation of the paper "LW-DETR: A Transformer Replacement to YOLO for Real-Time Detection".

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Detr-heat-map-visualization

用于detr的各个头部的位置热图/输出热图可视化

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mmdetection-annotated

mmdetection源码注释

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CFPNet

Centralized Feature Pyramid for Object Detection

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yolo-pyqt

yolov5,yolov7,yolov8,rtdetr with pyqt implement in pytorch.

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SynergySpot

一款基于 QML UI 及 C++ 开发的即时通讯软件 | 🎇 仿 QQ NT

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dino-tracker

Official Pytorch Implementation for “DINO-Tracker: Taming DINO for Self-Supervised Point Tracking in a Single Video”

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CVPR2024-Papers-with-Code-Demo

收集 CVPR 最新的成果,包括论文、代码和demo视频等,欢迎大家推荐!Collect the latest CVPR (Conference on Computer Vision and Pattern Recognition) results, including papers, code, and demo videos, etc., and welcome recommendations from everyone!

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CVPR2024-Paper-Code-Interpretation

cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集,极市团队整理

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DCNv4

[CVPR 2024] Deformable Convolution v4

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masa

Official Implementation of CVPR24 highligt paper: Matching Anything by Segmenting Anything

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Awesome-Segment-Anything

This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).

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2024-MambaVC

Code for MambaVC: Learned Visual Compression with Selective State Spaces

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vision-lstm

xLSTM as Generic Vision Backbone

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Transformer-in-Computer-Vision

A paper list of some recent Transformer-based CV works.

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YOLOSHOW

YOLO SHOW - YOLOv10 / YOLOv9 / YOLOv8 / YOLOv7 / YOLOv5 / RTDETR GUI based on Pyside6

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yolov10

YOLOv10: Real-Time End-to-End Object Detection

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mmdetection-mini

mmdetection最小学习版

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chatgpt_wallfree

GPT 学术优化 (ChatGPT Academic) 免翻墙教程。ChatGPT无疑是提高生产力的重要工具,也可以是科研的好帮手,但是它最大的不便之处包括但不限于以下两点: (1)不免费。即便付费,缴费也有一定的门槛,而且价格不便宜。 (2)需要科学上网。即通俗说法中的“翻墙”。虽然,搞科研的人使用科学上网并不罕见,但是部署到境内个人设备,总归有被检测到的风险。 本教程旨在缓解或解决以上两点痛点需求,适合个人和课题组生产环境。

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X-AnyLabeling

Effortless data labeling with AI support from Segment Anything and other awesome models.

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YOLOS

[NeurIPS 2021] You Only Look at One Sequence

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pnp-detr

Implementation of ICCV21 paper: PnP-DETR: Towards Efficient Visual Analysis with Transformers

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mamba

Mamba SSM architecture

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SeqFormer

SeqFormer: Sequential Transformer for Video Instance Segmentation (ECCV 2022 Oral)

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