https://github.com/zhumanli/geohoi
공식 코드Geometric Features Enhanced Human-Object Interaction Detection
Papers with Code 아카이브
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/zhumanli/sgcn4hoi
공식 코드A Skeleton-aware Graph Convolutional Network for Human-Object Interaction Detection
https://github.com/zhuzi24/sgg-toolkit
공식 코드https://github.com/zibin6/lopet
공식 코드Line-based 6-DoF Object Pose Estimation and Tracking With an Event Camera
https://github.com/zihangm/obj-centric-unsup-caption
공식 코드https://github.com/zikunzhou/saot
공식 코드https://github.com/ziongo6/fadet
공식 코드FADet: A Multi-sensor 3D Object Detection Network based on Local Featured Attention
https://github.com/ziplab/qtool
공식 코드https://github.com/ziqin-h/givepose
공식 코드https://github.com/zitronian/6dposediffusion
공식 코드Particle-based 6D Object Pose Estimation from Point Clouds using Diffusion Models
https://github.com/ziwei89/fbod
공식 코드A Flying Bird Object Detection Method for Surveillance Video
https://github.com/zixiliang/s-inf
공식 코드S-INF: Towards Realistic Indoor Scene Synthesis via Scene Implicit Neural Field
https://github.com/ziyueqingwan/localglobalattention
공식 코드Local-Global Attention: An Adaptive Mechanism for Multi-Scale Feature Integration
https://github.com/zju3dv/OnePose
공식 코드https://github.com/zju3dv/gcasp
공식 코드Generative Category-Level Shape and Pose Estimation with Semantic Primitives
https://github.com/zju3dv/snake
공식 코드https://github.com/zju3dv/street_gaussians
공식 코드Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting
https://github.com/zjw700/mus-cdb
공식 코드https://github.com/zk2172-columbia/boundless
공식 코드Boundless: Generating Photorealistic Synthetic Data for Object Detection in Urban Streetscapes
https://github.com/zkytony/cos-pomdp
공식 코드https://github.com/zkytony/genmos_object_search
공식 코드https://github.com/zl1994/IoU-Uniform-R-CNN
공식 코드https://github.com/zlynpu/3dfmnet
공식 코드3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration
https://github.com/zongdai/autoshape
공식 코드AutoShape: Real-Time Shape-Aware Monocular 3D Object Detection
https://github.com/zongwei97/popnet
공식 코드https://github.com/zongwei97/untrack
공식 코드https://github.com/zongwei97/xmsnet
공식 코드https://github.com/zpbao/bowtie_networks
공식 코드Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis
https://github.com/zpbao/discovery_obj_move
공식 코드https://github.com/zpbao/motok
공식 코드https://github.com/zq-zang/descreg
공식 코드Zero-Shot Aerial Object Detection with Visual Description Regularization
https://github.com/zqs1022/interpretableCNN
공식 코드https://github.com/zray26/dr-pose
공식 코드https://github.com/zrfreya/AutoRemover
공식 코드AutoRemover: Automatic Object Removal for Autonomous Driving Videos
https://github.com/zrporz/4DLangSplat
공식 코드4D LangSplat: 4D Language Gaussian Splatting via Multimodal Large Language Models
https://github.com/zrrskywalker/monodetr
공식 코드MonoDETR: Depth-guided Transformer for Monocular 3D Object Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.