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Bi-level feature alignment for versatile image translation and manipulation [ECCV 2022]

cocoapi

COCO API - Dataset @ http://cocodataset.org/

deep-multiclass-image-recognition

Deep learning-based highly-optimized solution for multi-class image recognition problem on ImageNet dataset.

deeplearning

Image recognition based on deep learning.

Deep learning based one class classification code targeting one class image classification. Tests carried out on Abnormal image detection, Novel image detection and Active Authentication reported state of the art results.

everypixelmatters

Implementation of ECCV 2020 paper "Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector"

feature-alignment

object detection, adversarial robustness, ICIP2021

garbage_classify

本文新增添分类，检测，换脸技术等学习教程，各种调参技巧和tricks，卷积结构详细解析可视化，注意力机制代码等详解！本次垃圾分类挑战杯，目的在于构建基于深度学习技术的图像分类模型，实现垃圾图片类别的精准识别，大赛参考深圳垃圾分类标准，按可回收物、厨余垃圾、有害垃圾和其他垃圾四项分类。本项目包含完整的分类网络、数据增强、SVM等各种分类增强策略，后续还会继续更新新的分类技巧。

hwcc_image_classification

本赛题任务是对西安的热门景点、美食、特产、民俗、工艺品等图片进行分类，即首先识别出图片中物品的类别（比如大雁塔、肉夹馍等），然后根据图片分类的规则，输出该图片中物品属于景点、美食、特产、民俗和工艺品中的哪一种。

iccv2021-paper-code-interpretation

ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理

mprnet

[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.

ms-dayolo

Multiscale Domain Adaptive YOLO for Cross-Domain Object Detection

objectdetectiondeeplearning

Interpretation of a picture composed of objects with neural networks (based on TensorFlow).

sod100k

The official repo of the TPAMI 2021/ECCV 2020 work CSNet: A Highly Efficient Model with 100K Parameters to Study the Semantics of Salient Object Detection

ssd

High quality, fast, modular reference implementation of SSD in PyTorch

steel_defect

Exercise: Use YOLO to detect hot-rolled steel strip surface defects (NEU-DET dataset).

surface-defect-detection

📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.

ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

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