https://github.com/IssamLaradji/CBStyling
공식 코드Class-Based Styling: Real-time Localized Style Transfer with Semantic 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/IuliiaSaveleva/ALFA
공식 코드ALFA: Agglomerative Late Fusion Algorithm for Object Detection
https://github.com/JAugusto97/euvsdisinfo
공식 코드EUvsDisinfo: A Dataset for Multilingual Detection of Pro-Kremlin Disinformation in News Articles
https://github.com/JCZ404/Semi-DETR
공식 코드Semi-DETR: Semi-Supervised Object Detection with Detection Transformers
https://github.com/JDAI-CV/LIO
공식 코드Look-into-Object: Self-supervised Structure Modeling for Object Recognition
https://github.com/JHKim-snu/GVCCI
공식 코드GVCCI: Lifelong Learning of Visual Grounding for Language-Guided Robotic Manipulation
https://github.com/JOP-Lee/READ-Large-Scale-Neural-Scene-Rendering-for-Autonomous-Driving
공식 코드READ: Large-Scale Neural Scene Rendering for Autonomous Driving
https://github.com/JacobWashburn-USDA/MatchPlant
공식 코드MatchPlant: An Open-Source Pipeline for UAV-Based Single-Plant Detection and Data Extraction
https://github.com/Jacoo-ai/HIC-Yolov5
공식 코드https://github.com/Jakaria08/Filter_Enhance_Detect
공식 코드https://github.com/JakubSochor/BoxCars
공식 코드https://github.com/James-Yuichi-Sato/MLSYS-2022-Video-Pipeline
공식 코드https://github.com/Jamie725/RGBT-detection
공식 코드https://github.com/JanaldoChen/Anim-NeRF
공식 코드https://github.com/JannatMokarrama07/Research-Policy-Relevance
공식 코드Quantifying the Relevance of Youth Research Cited in the US Policy Documents
https://github.com/JarrentWu1031/CCPL
공식 코드CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer
https://github.com/Jasonxu1225/Improved-Lightweight-YOLOv5-for-Face-Mask-Detection
공식 코드An Improved Lightweight YOLOv5 Model Based on Attention Mechanism for Face Mask Detection
https://github.com/JeffCHEN2017/WSSTG
공식 코드Weakly-Supervised Spatio-Temporally Grounding Natural Sentence in Video
https://github.com/JensBayer/transferability
공식 코드Network transferability of adversarial patches in real-time object detection
https://github.com/JeremyCJM/CCST
공식 코드Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer
https://github.com/JerrryNie/ConceptCLIP
공식 코드https://github.com/Jia-Research-Lab/MSAD
공식 코드Multi-Scale Aligned Distillation for Low-Resolution Detection
https://github.com/Jia-Research-Lab/ReviewKD
공식 코드https://github.com/Jia-Research-Lab/SA-AutoAug
공식 코드https://github.com/JiahuiYu/slimmable_networks
공식 코드https://github.com/JialeCao001/SipMask
공식 코드SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation
https://github.com/JialianW/Forest_RCNN
공식 코드Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation
https://github.com/JialianW/GRiT
공식 코드GRiT: A Generative Region-to-text Transformer for Object Understanding
https://github.com/JialianW/TraDeS
공식 코드https://github.com/JianboGuo/network-decoupling
공식 코드Network Decoupling: From Regular to Depthwise Separable Convolutions
https://github.com/Jianf-Wang/GRCNN
공식 코드Convolutional Neural Networks with Gated Recurrent Connections
https://github.com/JianlingWANG2021/SGSST
공식 코드https://github.com/JianqiangRen/AAMS
공식 코드https://github.com/JiaxiHe/Image-and-Video-Dehazing
공식 코드Fast Single Image Dehazing via Multilevel Wavelet Transform based Optimization
https://github.com/JihyongOh/DeMFI
공식 코드https://github.com/JinYuanLi0012/RiVEG
공식 코드LLMs as Bridges: Reformulating Grounded Multimodal Named Entity Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.