https://github.com/Simula-COMPLEX/pure
공식 코드Prediction Surface Uncertainty Quantification in Object Detection Models for Autonomous Driving
Papers with Code 아카이브
Object
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 0
- 보존된 평가 기록
- 0
Replace the cat with a British Shorthair cat of the breed with bulging yellow eyes
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Sina-Baharlou/Depth-VRD
공식 코드https://github.com/Sirui-Xu/InterDiff
공식 코드InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion
https://github.com/Sirui-Xu/InterMimic
공식 코드InterMimic: Towards Universal Whole-Body Control for Physics-Based Human-Object Interactions
https://github.com/SiyuanQi/gpnn
공식 코드Learning Human-Object Interactions by Graph Parsing Neural Networks
https://github.com/SobeyMIL/MVOC
공식 코드MVOC: a training-free multiple video object composition method with diffusion models
https://github.com/Spritea/GMOT40
공식 코드https://github.com/StanfordORB/Stanford-ORB
공식 코드Stanford-ORB: A Real-World 3D Object Inverse Rendering Benchmark
https://github.com/StarsThu2016/ApproxDet
공식 코드ApproxDet: Content and Contention-Aware Approximate Object Detection for Mobiles
https://github.com/StevenGrove/DynamicHead
공식 코드https://github.com/StevenHickson/VideoObjectProposals
공식 코드Object category learning and retrieval with weak supervision
https://github.com/Storife/RANet
공식 코드RANet: Ranking Attention Network for Fast Video Object Segmentation
https://github.com/SunDoge/L-GCN
공식 코드Location-aware Graph Convolutional Networks for Video Question Answering
https://github.com/SunJiamei/LRP-imagecaptioning-pytorch
공식 코드Explain and Improve: LRP-Inference Fine-Tuning for Image Captioning Models
https://github.com/SxJyJay/MORE
공식 코드MORE: Multi-Order RElation Mining for Dense Captioning in 3D Scenes
https://github.com/SysCV/pcan
공식 코드Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation
https://github.com/SysCV/qdtrack
공식 코드Quasi-Dense Similarity Learning for Multiple Object Tracking
https://github.com/TAMU-VITA/3D_Adversarial_Logo
공식 코드https://github.com/TAMU-VITA/UAV-NDFT
공식 코드https://github.com/TCXX/ObjaversePlusPlus
공식 코드Objaverse++: Curated 3D Object Dataset with Quality Annotations
https://github.com/THU-DA-6D-Pose-Group/Self6D-Diff-Renderer
공식 코드https://github.com/THU-MIG/yolov10
공식 코드https://github.com/THUrssq/Tianchi04
공식 코드https://github.com/TJ-IPLab/DNet
공식 코드https://github.com/TRAILab/CaDDN
공식 코드Categorical Depth Distribution Network for Monocular 3D Object Detection
https://github.com/TRI-ML/permatrack
공식 코드https://github.com/TUMFTM/RadarVoxelFusionNet
공식 코드https://github.com/TencentARC/MotionCtrl
공식 코드MotionCtrl: A Unified and Flexible Motion Controller for Video Generation
https://github.com/Tengfei-Wang/Implicit-Internal-Video-Inpainting
공식 코드Internal Video Inpainting by Implicit Long-range Propagation
https://github.com/Tete-Xiao/ReSim
공식 코드https://github.com/Thaonguyen3095/affordance-language
공식 코드Robot Object Retrieval with Contextual Natural Language Queries
https://github.com/TheShadow29/vognet-pytorch
공식 코드Video Object Grounding using Semantic Roles in Language Description
https://github.com/TomG008/SkyNet
공식 코드SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems
https://github.com/ToniCreswell/attribute-cVAEGAN
공식 코드https://github.com/TonyLianLong/RCF-UnsupVideoSeg
공식 코드Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping
https://github.com/ToyotaResearchInstitute/simnet
공식 코드SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.