https://github.com/Suhird/AirbusShipDetection
U-Net: Convolutional Networks for Biomedical Image Segmentation
Papers with Code 아카이브
2D Classification
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Sujith2k/darknet
https://github.com/SumUpAnalytics/goldsum
Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies
https://github.com/SunDoge/efficientnet-pytorch
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
https://github.com/Sungman-Cho/Attend-and-Compare-Module
https://github.com/Sungman-Cho/Propagate-Yourself-Pytorch
https://github.com/SunnerLi/Cross-you-in-style
Crossing You in Style: Cross-modal Style Transfer from Music to Visual Arts
https://github.com/SuperKam91/gns
https://github.com/SupratimH/neural-style-transfer
https://github.com/SupreethN/Hand-CNN
https://github.com/Sushma07/dancedarknet
https://github.com/Suvoo/U-Net
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/SweetyTian/efficientdet
https://github.com/SwordHolderSH/neural-style-pytorch
https://github.com/SyBorg91/pose-estimation-detection
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/Syarujianai/deeplab-commented
Rethinking Atrous Convolution for Semantic Image Segmentation
https://github.com/Syavaprd/mobilenet_v3
https://github.com/SyedUmaidAhmed/Pose-Detection-Sitting-Standing
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/Sypherd/lm-evaluation-harness
https://github.com/SysCV/tet
Quasi-Dense Similarity Learning for Multiple Object Tracking
https://github.com/SystemErrorWang/Joint-Bilateral-Photorealistic-Style-Transfer
Joint Bilateral Learning for Real-time Universal Photorealistic Style Transfer
https://github.com/T-C-J/GAN
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/T-C-J/shuiying
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/TAMU-VITA/AGD
GAN Slimming: All-in-One GAN Compression by A Unified Optimization Framework
https://github.com/TAMU-VITA/DeblurGANv2
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
https://github.com/TENNLab-UTK/dbscan
DOTIE -- Detecting Objects through Temporal Isolation of Events using a Spiking Architecture
https://github.com/THU17cyz/3DIoUMatch-PVRCNN
3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection
https://github.com/TJJTJJTJJ/pytorch_CycleGAN_frame
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/TKGgunter/yolov4_tiny_rs
https://github.com/TRAILab/ST-SLidR
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning
https://github.com/TSKumarage/Neural-Authorship-Attribution
J-Guard: Journalism Guided Adversarially Robust Detection of AI-generated News
https://github.com/TTMRonald/MobileNet_Zoo
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/Tajamul21/Detection-Classification-and-Semantic_Segmentation-of-apples
MinneApple: A Benchmark Dataset for Apple Detection and Segmentation
https://github.com/TamirShasha/Mars_yolo
https://github.com/TangDL/DCN
R-FCN: Object Detection via Region-based Fully Convolutional Networks
https://github.com/TangDL/mmdetection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.