https://github.com/MinghaoNJU/Object-detection-for-graphical-user-interface
Object Detection for Graphical User Interface: Old Fashioned or Deep Learning or a Combination?
Papers with Code 아카이브
2D Classification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Mingjian-Zhu/DyFPN
https://github.com/MioChiu/MobileNet_V2_TensorFlow
https://github.com/MioChiu/ResNet_TensorFlow
https://github.com/Miracle1991/DetectionHub
RetinaMask: Learning to predict masks improves state-of-the-art single-shot detection for free
https://github.com/Misaka9468/CloudTransfer-daytime2sunset-CycleGAN-Pytorch
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/MishaLaskin/vq-vae
https://github.com/MishaLaskin/vqvae
https://github.com/Mixture-of-Rookie/PASSL
Dense Contrastive Learning for Self-Supervised Visual Pre-Training
https://github.com/Mjrovai/covid19Xray
https://github.com/MoaazK/comp511-project
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/MoaazK/unet-transformer
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/ModelBunker/PointNet-TensorFlow
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
https://github.com/ModelBunker/PointRCNN-PyTorch
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
https://github.com/ModelBunker/Stereo-RCNN-PyTorch
Stereo R-CNN based 3D Object Detection for Autonomous Driving
https://github.com/Moguero/painting-style-transfer
https://github.com/MohamedAbd0/darkflow-training
https://github.com/MohamedAliRashad/Crystal
EDVR: Video Restoration with Enhanced Deformable Convolutional Networks
https://github.com/MohamedFarag21/DL-papers-implementation/blob/main/Computer_vision/UNET/Code/Unet_clean_version.py
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/MohamedFarag21/DL-papers-implementation/tree/main/Computer_vision/CBAM:%20Convolutional%20Block%20Attention%20Module/Code
https://github.com/Mohammad-Asad-110/Fashion-Recommendation
https://github.com/MohdDanish/FastPhotoStyle1
https://github.com/MonsterPeng/Deformable-ConvNets-master
R-FCN: Object Detection via Region-based Fully Convolutional Networks
https://github.com/MonsterPeng/caffe_ssd
https://github.com/MoritzTaylor/maml-rl-tf2
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
https://github.com/MortenTabaka/Semantic-segmentation-of-LandCover.ai-dataset
https://github.com/MoyoG/SHEL5K
https://github.com/Mr-TalhaIlyas/Openpose-docker
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/MrAI-Rohan/SSDImplementation
https://github.com/MrD1360/Keras-implementation-of-MobileNetv3-with-L-RASSP
https://github.com/MrGiovanni/UNetPlusPlus
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
https://github.com/MrRen-sdhm/Embedded_Multi_Object_Detection_CNN
https://github.com/MrRiahi/Convolutional-Neural-Networks-Tensorflow
https://github.com/Mrnoorsingh/car-parking
https://github.com/Mrqianduoduo/RSDet-8P-4R
https://github.com/MuMiN-dataset/mumin-baseline
MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Dataset
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.