https://github.com/zhangqianhui/Sparsely-Grouped-GAN
공식 코드Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation
Papers with Code 아카이브
2D Classification
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/zhangtong1/transfer_learning_cspt
공식 코드https://github.com/zhangtravis/hist-da
공식 코드Unsupervised Domain Adaptation for Self-Driving from Past Traversal Features
https://github.com/zhangxiaosong18/FreeAnchor
공식 코드FreeAnchor: Learning to Match Anchors for Visual Object Detection
https://github.com/zhangxuying1004/refcod
공식 코드https://github.com/zhangxydlut/Neural-Image-Re-Exposure
공식 코드https://github.com/zhangyi-3/kbnet
공식 코드https://github.com/zhangyp15/MonoFlex
공식 코드Objects are Different: Flexible Monocular 3D Object Detection
https://github.com/zhangyp15/beverse
공식 코드BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving
https://github.com/zhangyp15/simmod
공식 코드https://github.com/zhangyuanhan-ai/bamboo
공식 코드Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine Synergy
https://github.com/zhangzc21/generalized-one-shot-gan-adaptation
공식 코드Generalized One-shot Domain Adaptation of Generative Adversarial Networks
https://github.com/zhangzc21/petsgan
공식 코드https://github.com/zhangzjn/ader
공식 코드Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark
https://github.com/zhangzjn/emov2
공식 코드https://github.com/zhanyang-nwpu/mono3dvg
공식 코드https://github.com/zhao-zy15/pmc-patients
공식 코드https://github.com/zhaohaoyu376/hfgs
공식 코드https://github.com/zhaojw1998/accomontage
공식 코드AccoMontage: Accompaniment Arrangement via Phrase Selection and Style Transfer
https://github.com/zhaojw1998/accomontage-3
공식 코드Structured Multi-Track Accompaniment Arrangement via Style Prior Modelling
https://github.com/zhaoweicai/Detectron-Cascade-RCNN
공식 코드Cascade R-CNN: High Quality Object Detection and Instance Segmentation
https://github.com/zhaoweicai/cascade-rcnn
공식 코드https://github.com/zhaoweicai/mscnn
공식 코드A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
https://github.com/zhaoxiangyun/morphable-detector
공식 코드https://github.com/zhaoxing2022/mmn-vsod
공식 코드Motion-aware Memory Network for Fast Video Salient Object Detection
https://github.com/zhaoxuli123/specdetr
공식 코드SpecDETR: A Transformer-based Hyperspectral Point Object Detection Network
https://github.com/zhaoyuzhi/d2hnet
공식 코드D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image Restoration
https://github.com/zhaoyuzhi/qrnet
공식 코드Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring
https://github.com/zhaozixiang1228/mmif-cddfuse
공식 코드CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion
https://github.com/zharry29/wikihow-goal-step
공식 코드Reasoning about Goals, Steps, and Temporal Ordering with WikiHow
https://github.com/zhasion/rsar
공식 코드RSAR: Restricted State Angle Resolver and Rotated SAR Benchmark
https://github.com/zhechen/deformable-detr-rego
공식 코드Recurrent Glimpse-based Decoder for Detection with Transformer
https://github.com/zhejinghu/upmt
공식 코드https://github.com/zhen6618/rotayolo
공식 코드https://github.com/zhengbo-zhang/fade
공식 코드FADE: A Dataset for Detecting Falling Objects around Buildings in Video
https://github.com/zhengchen1999/hi-diff
공식 코드Hierarchical Integration Diffusion Model for Realistic Image Deblurring
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.