基于Qt库的C++基础贪吃蛇游戏项目

使用VS2019+Qt5.12开发的Vs C++ qt仿微信的聊天项目。 主要功能如下： 1、模仿微信界面 2、实现好友间通信 3、实现群友之间聊天 4、添加好友，申请入群 5、支持emoij表情包 6、支持简单文件发送 7、支持简单的截图功能

[AAAI 2024] AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model

The code of paper Cross-Modal Fusion and Progressive Decoding Network For RGB-D Salient Object Detection

An implementation of RGB-D co-attention network

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in MedIA, volume 67, January 2021.

Code for CVPR 2019 paper. BASNet: Boundary-Aware Salient Object Detection

Code for our CVPR 2019 paper "A Simple Pooling-Based Design for Real-Time Salient Object Detection"

[CAAI AIR'24] Bilateral Reference for High-Resolution Dichotomous Image Segmentation

A template matching library based on OpenCV, supporting rotation matching, cross-platform usage, C++, and Python. 基于opencv的模板匹配库，支持旋转匹配，支持跨平台、c++调用、python调用

深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI

RGB-D Salient Object Detection: A Survey

The official implement of paper CriDiff: Criss-cross Injection Diffusion Framework via Generative Pre-train for Prostate Segmentation.

All those partitioned RGB-D Saliency Datasets we collected are shared in ready-to-use manner.

深度学习中各种即插即用小模块

[CVPR 2023] Explicit Visual Prompting for Low-Level Structure Segmentations

This repository contains the code of the CVPR 2022 paper "Image Segmentation Using Text and Image Prompts".

A collection of project, papers, and source code for Meta AI's Segment Anything Model (SAM) and related studies.

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024

Adapting Segment Anything Model for Medical Image Segmentation

Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts

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

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

Connecting segment-anything's output masks with the CLIP model; Awesome-Segment-Anything-Works

Zero-Shot Edge Detection with SCESAME: Spectral Clustering-based Ensemble for Segment Anything Model Estimation

Unofficial edge detection implementation using the Automatic Mask Generation (AMG) of the Segment Anything Model (SAM).

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.