https://github.com/zeeshankaleem/multifeaturenet
공식 코드SafeSpace MFNet: Precise and Efficient MultiFeature Drone Detection Network
Papers with Code 아카이브
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태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/zehong-ma/ovmr
공식 코드OVMR: Open-Vocabulary Recognition with Multi-Modal References
https://github.com/zehuichen123/autoalignv2
공식 코드AutoAlignV2: Deformable Feature Aggregation for Dynamic Multi-Modal 3D Object Detection
https://github.com/zehuichen123/bevdistill
공식 코드BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection
https://github.com/zeliu98/Group-Free-3D
공식 코드https://github.com/zeng-yirong/ru22fact
공식 코드RU22Fact: Optimizing Evidence for Multilingual Explainable Fact-Checking on Russia-Ukraine Conflict
https://github.com/zengwang430521/tcformer
공식 코드TCFormer: Visual Recognition via Token Clustering Transformer
https://github.com/zengyan-97/x-vlm
공식 코드Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts
https://github.com/zerono000/neurop-diff
공식 코드NeurOp-Diff:Continuous Remote Sensing Image Super-Resolution via Neural Operator Diffusion
https://github.com/zeyang-zheng/real-time-roadway-obstacle-detection-for-electric-scooters
공식 코드https://github.com/zeyofu/tara
공식 코드https://github.com/zeyuxiao1997/EDPN
공식 코드EDPN: Enhanced Deep Pyramid Network for Blurry Image Restoration
https://github.com/zeyuzhangzyz/axiomvision
공식 코드https://github.com/zf020114/dardet
공식 코드DARDet: A Dense Anchor-free Rotated Object Detector in Aerial Images
https://github.com/zhangbaijin/sam-helps-shadow
공식 코드SAM-helps-Shadow:When Segment Anything Model meet shadow removal
https://github.com/zhangbaijin/spa-former-shadow-removal
공식 코드SpA-Former: Transformer image shadow detection and removal via spatial attention
https://github.com/zhangbaijin/spatial-transformer-shadow-removal
공식 코드SpA-Former: Transformer image shadow detection and removal via spatial attention
https://github.com/zhangbaisong/dsfp-ga
공식 코드Discriminative Semantic Feature Pyramid Network with Guided Anchoring for Logo Detection
https://github.com/zhangconghhh/comics
공식 코드COMICS: End-to-end Bi-grained Contrastive Learning for Multi-face Forgery Detection
https://github.com/zhanggang001/cednet
공식 코드CEDNet: A Cascade Encoder-Decoder Network for Dense Prediction
https://github.com/zhanggang001/cfnet
공식 코드CEDNet: A Cascade Encoder-Decoder Network for Dense Prediction
https://github.com/zhanggang001/hednet
공식 코드HEDNet: A Hierarchical Encoder-Decoder Network for 3D Object Detection in Point Clouds
https://github.com/zhanggongjie/sam-detr
공식 코드https://github.com/zhanghang1989/ResNeSt
공식 코드https://github.com/zhanghx-iim-ahu/circleformer
공식 코드CircleFormer: Circular Nuclei Detection in Whole Slide Images with Circle Queries and Attention
https://github.com/zhanglab-deepneurocoglab/csegg
공식 코드Adaptive Visual Scene Understanding: Incremental Scene Graph Generation
https://github.com/zhanglu-cst/hifsod
공식 코드Hierarchical Few-Shot Object Detection: Problem, Benchmark and Method
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/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/zhangzjn/ader
공식 코드Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.