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aerialdetection

awesome-self-supervised-learning-papers

Awesome Self-supervised papers in CV, NLP, Graph, Recommendation, ML and so on.

bing

BING: Binarized Normed Gradients for Objectness Estimation at 300fps

cv_paperdaily

CV 论文笔记

dal

Dynamic Anchor Learning for Arbitrary-Oriented Object Detection (AAAI2021)

darknet

YOLOv4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)

data_prep

适用于目标检测VOC格式的数据增广库，包含各种像素级增广方式和形变增广，如：crop、rotation、flip、tail、滑动窗口、yolov4的mosaic等

dcl

Destruction and Construction Learning for Fine-grained Image Recognition

detection

edge_boxes_with_python

A python wrapper for Edge Boxes object proposal generation

edgeboxes-cpp-version

A c++ implementation of pdollar's Structured Edge Detection Toolbox. Written by opencv c++.

hog-svm-python

hsuantienlin_machinelearning

inpaint-object-remover

Python implementation of "Region Filling and Object Removal" by A. Criminisi et al.

interpretablemlbook

《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版

map

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

metafgnet

The source code of the ECCV 2018 paper: Fine-Grained Visual Categorization using Meta-Learning Optimization with Sample Selection of Auxiliary Data

mmdetection

OpenMMLab Detection Toolbox and Benchmark

models

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）

nlp_course

YSDA course in Natural Language Processing

object-detection-paper

Summaries of the papers on Object detection

paddleclas

A treasure chest for image classification powered by PaddlePaddle

paddledetection

Object detection and instance segmentation toolkit based on PaddlePaddle.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

retinanet-pytorch

Retinanet目标检测算法(简单,明了,易用,全中文注释,单机多卡训练,视频检测)(based on pytorch,Simple, Clear, Mutil GPU)

rolabelimg

Label Rotated Rect On Images for training

saliency

structuredforests

A Python Implementation for Piotr's ICCV Paper "Structured Forests for Fast Edge Detection".

svm-classification-localization

HoG, PCA, PSO, Hard Negative Mining, Sliding Window, Edge Boxes, NMS

texture-vs-shape

Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)