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/Jitensid/Neural-Style-Transfer
https://github.com/JitindraFartiyal/Object-Detection
https://github.com/Jittor-Image-Models/Jittor-Image-Models
https://github.com/Jittor/InstanceSegmentation-jittor
https://github.com/Jittor/JNeRF
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
https://github.com/Jmak12/Iris1
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
https://github.com/Jmkernes/PAR-Transformer-XL
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
https://github.com/JngmnLee/DeepGyro-PyTorch_Implementation
https://github.com/Jo-dsa/SemanticSeg
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/JoeTracey/Portfolio
https://github.com/JoegameZhou/PatchCore
https://github.com/JoegameZhou/efficientnet-b0
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
https://github.com/JoegameZhou/hrnetv2
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/JoegameZhou/mPanGu-Alpha-53
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection
https://github.com/JoegameZhou/ssd
https://github.com/JoelPendleton/Edge-Detection-CNN
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/JoelPendleton/Object-Contour-Detection-CNN
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/JohanYe/CycleGAN-Pokemon
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/JohanZYe/CycleGAN-Pokemon
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/JohnGiorgi/compact-multi-head-self-attention-pytorch
Low Rank Factorization for Compact Multi-Head Self-Attention
https://github.com/JohnnyHopp/Pose-Estimation-Part-Affinity-Field-Mobilenetv2-
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/Jonashellevang/Weapons_Detection_YOLOv3
https://github.com/JonathonLuiten/instant-nerf-pytorch
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
https://github.com/Jongchan/attention-module
https://github.com/Jonydom/Faster-RCNN
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
https://github.com/Jorge-Mendes/darknet-google-colab
https://github.com/JorgeGtz/TextureNets_implementation
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
https://github.com/JosephPB/XNet
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/JoshuaPlacidi/MS-COCO-Object-Tags
VinVL: Revisiting Visual Representations in Vision-Language Models
https://github.com/JoshuaPlacidi/MS-COCO-Tags
VinVL: Revisiting Visual Representations in Vision-Language Models
https://github.com/Josien94/MLiP
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
https://github.com/JoyHsiao/Haitec
https://github.com/Joyce511/OpenVino_Realtime_Multi-Person_Pose_Estimation
Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
https://github.com/JuanFMontesinos/y-net
https://github.com/JudeLee19/HMNet
A Hierarchical Network for Abstractive Meeting Summarization with Cross-Domain Pretraining
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.