Papers with Code 아카이브
2D Classification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/GeekAlexis/Guardian
Efficient ConvNet-based Object Detection for Unmanned Aerial Vehicles by Selective Tile Processing
https://github.com/GenesisDCarmen/C_Reconocimiento_Facial
https://github.com/GeoDQ/Seismic-image-segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/George-Holbrow-Wilshaw/Human-Protein-Atlas-Kaggle
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection
https://github.com/George-Ogden/Mask-RCNN
https://github.com/GeorgeDUT/MetaRLSAS
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
https://github.com/GewelsJI/PNS-Net
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/Ggs1mida/Awesome-DataFusion
https://github.com/Ggs1mida/Awesome-PointCloudRegistration
https://github.com/GiaKhangLuu/YOLOv1_from_scratch
https://github.com/GianRomani/YOLOv3-Neural-Networks-project-
https://github.com/GiantPandaCV/yolov3-point
https://github.com/GibranBenitez/IPN-hand
https://github.com/Gideon0805/Tensorflow1.15-Model-Pruning
https://github.com/Gideon0805/Tensorflow_Model_Pruning
https://github.com/Gie-ok-Hie-ut/pytorch-stylegan2-distillation
https://github.com/Gintasp/xgan
XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings
https://github.com/GiovanniPasq/DA-Faster-RCNN
Domain Adaptive Faster R-CNN for Object Detection in the Wild
https://github.com/Git-Uzair/Piano-Genre-Transfer-CycleGan
https://github.com/GitHberChen/FCN-Pytorch
https://github.com/Gitgigabyte/mmd
https://github.com/Gitgigabyte/mmdetection_
https://github.com/GiuliaLanzillotta/exercises
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/GiulioFischietti/Tirocinio
https://github.com/GivralNguyen/-Ultra-light-Vehicle-Detection-using-Tiny-Mobilenet-SSD-real-time-on-CPU-
Receptive Field Block Net for Accurate and Fast Object Detection
https://github.com/GivralNguyen/Ultra-light-Vehicle-Detection-using-Tiny-Mobilenet-SSD-real-time-on-CPU
Receptive Field Block Net for Accurate and Fast Object Detection
https://github.com/GlebBrykin/SANET
https://github.com/Glp91/fire-detection
https://github.com/GodofCCode/yolo3
https://github.com/Godofnothing/EfficientObjectDetection
Efficient Object Detection in Large Images using Deep Reinforcement Learning
https://github.com/Godofnothing/pi-GAN
pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis
https://github.com/Gojay001/toolkit-DeepLearning
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/GordonnW/ShuffleNetV1
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
https://github.com/Graylab/deepH3-distances-orientations
https://github.com/GregorKobsik/Octree-Transformer
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.