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OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline
Visually Realistic Underwater Robotics Simulator UNav-Sim
yolov5 车牌检测 车牌识别 中文车牌识别 检测 支持12种中文车牌 支持双层车牌
SAM Enhance Mask Quality for WSSS: This repository provides tools for generating, evaluating, and visualizing enhanced pseudo masks for Weakly Supervised Semantic Segmentation (WSSS) using the Segm…
A modular RL library to fine-tune language models to human preferences
Train transformer language models with reinforcement learning.
Matting Anything Model (MAM), an efficient and versatile framework for estimating the alpha matte of any instance in an image with flexible and interactive visual or linguistic user prompt guidance.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Reading list for research topics in embodied vision
Collections of object goal navigation papers in recent top-tier conferences.
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
A Collection of LiDAR-Camera-Calibration Papers, Toolboxes and Notes
A collection of papers about Transformer in the field of medical image analysis.
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
(2020-2022)The PyTorch version of SiamFC，SiamRPN，DaSiamRPN, UpdateNet , SiamDW, SiamRPN++, SiamMask, SiamFC++, SiamCAR, SiamBAN, Ocean, LightTrack , TrTr, NanoTrack; Visual object tracking based on…
A clean PyTorch implementation of SiamFC tracking/training, evaluated on 7 datasets.
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 recommendati…
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch