hxhdnd

AcroFOD

(ECCV2022) The official PyTorch implementation of the "AcroFOD: An Adaptive Method for Cross-domain Few-shot Object Detection".

Adversarial-Attacks-on-Object-Detectors-Paperlist

A Paperlist of Adversarial Attack on Object Detection

adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

autoAnnoter

autoAnnoter its a tool to auto annotate data using a exisiting models

Awesome-Few-Shot-Class-Incremental-Learning

Awesome Few-Shot Class-Incremental Learning

Digital-Image-Processing

Digital Image Processing

easy-faster-rcnn.pytorch

An easy implementation of Faster R-CNN (https://arxiv.org/pdf/1506.01497.pdf) in PyTorch.

Few-shot-Object-Detection-via-Feature-Reweighting

PA_AttackPlane

Physical adversarial patch-based attack for arerial airplane image(AP-PA)

Physical-Adversarial-Attacks-Survey

hxhdnd/PA_AttackPlane

Physical adversarial patch-based attack for arerial airplane image(AP-PA)

hxhdnd/Physical-Adversarial-Attacks-Survey

hxhdnd/AcroFOD

(ECCV2022) The official PyTorch implementation of the "AcroFOD: An Adaptive Method for Cross-domain Few-shot Object Detection".

hxhdnd/Adversarial-Attacks-on-Object-Detectors-Paperlist

A Paperlist of Adversarial Attack on Object Detection

hxhdnd/adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

hxhdnd/autoAnnoter

autoAnnoter its a tool to auto annotate data using a exisiting models

hxhdnd/Awesome-Few-Shot-Class-Incremental-Learning

Awesome Few-Shot Class-Incremental Learning

hxhdnd/Few-shot-Object-Detection-via-Feature-Reweighting

hxhdnd/Awesome-Incremental-Learning

Awesome Incremental Learning

hxhdnd/Awesome-Novel-Class-Discovery

A list of papers that studies Novel Class Discovery

hxhdnd/BC-YOLO

Bi-path combination YOLO for real-time few-shot object detection

hxhdnd/Decode-barcode-images-using-YOLOv8-and-REAL-ESRGAN

The machine learning system integrated Object Detection and Image Super-Resolution to decode barcode images for real-time video processing for Industrial Applications 🚀🚀🚀

hxhdnd/devit

Detect Every Thing with Few Examples

hxhdnd/DLTA-AI

Data Labeling, Tracking and Annotation with AI

hxhdnd/Few-Shot-Object-Detection-Papers

Few Shot Object Detection Papers

hxhdnd/HIC-Yolov5

This is a repository for HIC-Yolov5

hxhdnd/ISAT_with_segment_anything

Interactive semi-automatic image segmentation annotation tool. Supports SAM(segment anything model), sam-hq, MobileSAM etc.（交互式半自动图像分割标注工具，支持SAM，sam-hq, MobileSAM等模型）

hxhdnd/LaTeX-OCR

pix2tex: Using a ViT to convert images of equations into LaTeX code.

hxhdnd/lite.ai.toolkit

🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOv5, YOLOX, YOLOP, YOLOv6, YOLOR, MODNet, YOLOX, YOLOv7, YOLOv8. MNN, NCNN, TNN, ONNXRuntime.

hxhdnd/LROD

code for "Low resolution object detection via a novel lightweight super-resolution network"

hxhdnd/MathTranslate

translate scientific papers in latex, especially arxiv papers

hxhdnd/ML-iFSOD

[TCSVT'22]Meta-Learning Based Incremental Few-Shot Object Detection

hxhdnd/nanodet

NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

hxhdnd/objectdetection_script

一些关于目标检测的脚本的改进思路代码，详细请看readme.md

hxhdnd/obsidian_vault_template_for_researcher

This is an vault template for researchers using obsidian.

hxhdnd/PicGoImage

PicGo图床

hxhdnd/SAMLabelerPro

label your image with Segment Anything Model or MobileSAM, support remote labeling for multiple persons。使用Segment Anything Model或MobileSAM辅助标注的工具，支持多人远程标注

hxhdnd/SRDet

Research on AI Technology for the Efficient Real-Time Object Detection using super-resolution.

hxhdnd/SSL-YOLO

SSL-YOLO is a project that employs an auto-supervised approach to pretrain the backbone of the YOLOv8 model using contrastive representation learning, for Few-Shot Object Detection.

hxhdnd/yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite