Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

根据Pytorch官方教程实现 Mask-RCNN，其 backbone为ResNet50+FPN。现在完成了对于示例数据集的训练，后续会继续修改，实现其他的功能。

知识蒸馏（Knowledge Distillation）

基于tf2.5实现的知识蒸馏模板代码

知识蒸馏基础学习版本，使用tensorflow实现

tensorflow2_knowledge_distilling_example

Modified open source implementation of Mask RCNN for Edge Devices

Official implementation of paper "Masked Distillation with Receptive Tokens", ICLR 2023.

Localization Distillation for Object Detection (CVPR 2022, TPAMI 2023)

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

💯 2025年系统架构设计师（软考高级）备考资料。

AI人工智能、深度学习领域，2025年全网最全即插即用模块，包含各种卷积变种、最新注意力机制、特征融合模块、上下采样模块，持续更新中......

A simple, fully convolutional model for real-time instance segmentation.

OMG-LLaVA and OMG-Seg codebase [CVPR-24 and NeurIPS-24]

使用opencv部署yolact实例分割，包含C++和Python两种版本的程序

Mask R-CNN modified to run on TensorFlow 2

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Official Repository for CWD30 Dataset

Automatic Weed Detection And Smart Herbicide Sprayer Robot.

A repository and interchange format for weed identification annotation

files

深度学习识别杂草

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

A finite element framework for Python's scientific stack: arbitrary order planar/curvilinear mesh generation and finite element methods for linear and nonlinear analysis of coupled multiphysics pro…

Grounded Language-Image Pre-training

This repository holds the code for the Python implementation of YOLOX-ViT. Furthermore, it has the implementation of the Knowledge Distillation (KD) method, evaluation metrics of the object detecto…

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Collect some papers about transformer for detection and segmentation. Awesome Detection Transformer for Computer Vision (CV)