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attentive-gan-derainnet

Tensorflow implemention of "Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018) " model https://maybeshewill-cv.github.io/attentive-gan-derainnet/

awesome-industrial-anomaly-detection

Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。

barlowtwins

PyTorch implementation of Barlow Twins.

bbox-label-tool

A simple tool for labeling object bounding boxes in images

cvanet

darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

dataset-converters

A conversion toolset between different object detection and instance segmentation annotation formats

deep-learning-papers-translation

深度学习论文翻译，包括分类论文，检测论文等

deraindrop

Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018)

deshadownet

[CVPR2017] DeshadowNet implementation

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

faster_rcnn_pytorch

Faster RCNN with PyTorch

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

fpn_tensorflow

A Tensorflow implementation of FPN detection framework.

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

glnet

The official code for 'Embedding Global Contrastive and Local Location in Self-Supervised Learning'

hieraseg

interview-notebook-pdf

https://github.com/CyC2018/Interview-Notebook PDF版本离线阅读

keras-classification-models

Collection of Keras models used for classification

learn-algorithms

算法学习笔记

mmdetection

OpenMMLab Detection Toolbox and Benchmark

moco-v3

PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057

open-source

My Open-Source Code

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

radam_pytorch_classification

Radam implementation with pytorch in classification

res2net

The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"

san

Second-order Attention Network for Single Image Super-resolution (CVPR-2019)

segment-and-track-anything

An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.