https://github.com/yyjmjc/loupe
공식 코드Fine-Grained Semantically Aligned Vision-Language Pre-Training
Papers with Code 아카이브
2D Object Detection
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/yz-wang/togethernet
공식 코드https://github.com/yzd-v/FGD
공식 코드https://github.com/yzd-v/MGD
공식 코드https://github.com/yzichen/polarbevdet
공식 코드PolarBEVDet: Exploring Polar Representation for Multi-View 3D Object Detection in Bird's-Eye-View
https://github.com/z-x-yang/GCT
공식 코드https://github.com/zaiweizhang/H3DNet
공식 코드H3DNet: 3D Object Detection Using Hybrid Geometric Primitives
https://github.com/zakharos/DPOD
공식 코드https://github.com/zc199823/bbnet--cocod
공식 코드Collaborative Camouflaged Object Detection: A Large-Scale Dataset and Benchmark
https://github.com/zcablii/Large-Selective-Kernel-Network
공식 코드Large Selective Kernel Network for Remote Sensing Object Detection
https://github.com/zcablii/lsknet
공식 코드LSKNet: A Foundation Lightweight Backbone for Remote Sensing
https://github.com/zcablii/sardet_100k
공식 코드SARDet-100K: Towards Open-Source Benchmark and ToolKit for Large-Scale SAR Object Detection
https://github.com/zcablii/sm3det
공식 코드SM3Det: A Unified Model for Multi-Modal Remote Sensing Object Detection
https://github.com/zchuhan/cckt-det
공식 코드Cyclic Contrastive Knowledge Transfer for Open-Vocabulary Object Detection
https://github.com/zczcwh/PoseFormer
공식 코드3D Human Pose Estimation with Spatial and Temporal Transformers
https://github.com/zdaxie/PixPro
공식 코드https://github.com/ze-yang/efficient-fsod
공식 코드Efficient Few-Shot Object Detection via Knowledge Inheritance
https://github.com/zeeshankaleem/ghostautoanchornet
공식 코드GAANet: Ghost Auto Anchor Network for Detecting Varying Size Drones in Dark
https://github.com/zeeshankaleem/multifeaturenet
공식 코드SafeSpace MFNet: Precise and Efficient MultiFeature Drone Detection Network
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/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/zeyang-zheng/real-time-roadway-obstacle-detection-for-electric-scooters
공식 코드https://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/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/PyTorch-Encoding
공식 코드https://github.com/zhanghang1989/ResNeSt
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.