https://github.com/beltransen/velo2cam_gazebo
공식 코드Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups
Papers with Code 아카이브
Scene Understanding
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 6
- 평가표
- 3
- 보존된 평가 기록
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Scene understanding involves interpreting the visual information of a scene, including objects, their spatial relationships, and the overall layout. It goes beyond simple object recognition by considering the context and how objects relate to each other and the environment.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/bilel-bj/unsupervised-domain-adaptation-gan
공식 코드https://github.com/binalab/rescuenet-a-high-resolution-post-disaster-uav-dataset-for-semantic-segmentation
공식 코드https://github.com/bionicvisionlab/2021-han-scene-simplification
공식 코드https://github.com/birlrobotics/PMN
공식 코드Pose-based Modular Network for Human-Object Interaction Detection
https://github.com/birlrobotics/vs-gats
공식 코드Visual-Semantic Graph Attention Networks for Human-Object Interaction Detection
https://github.com/blvlab/pimae
공식 코드PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection
https://github.com/bo-miao/HTR
공식 코드Temporally Consistent Referring Video Object Segmentation with Hybrid Memory
https://github.com/bo-miao/MAMP
공식 코드Self-Supervised Video Object Segmentation by Motion-Aware Mask Propagation
https://github.com/bo-miao/sgmg
공식 코드Spectrum-guided Multi-granularity Referring Video Object Segmentation
https://github.com/bobwan1995/PMFNet
공식 코드Pose-aware Multi-level Feature Network for Human Object Interaction Detection
https://github.com/boschresearch/relationfield
공식 코드https://github.com/bowang-lab/medsam
공식 코드Segment Anything in Medical Images and Videos: Benchmark and Deployment
https://github.com/bowang-lab/medsam2
공식 코드https://github.com/bowen-upenn/scene_graph_commonsense
공식 코드Enhancing Scene Graph Generation with Hierarchical Relationships and Commonsense Knowledge
https://github.com/brownvc/shapefromtracing
공식 코드https://github.com/buaahugegun/dcfm
공식 코드Deep Common Feature Mining for Efficient Video Semantic Segmentation
https://github.com/buaavrcg/LEGaussians
공식 코드Language Embedded 3D Gaussians for Open-Vocabulary Scene Understanding
https://github.com/buxiangzhiren/vd-it
공식 코드Exploring Pre-trained Text-to-Video Diffusion Models for Referring Video Object Segmentation
https://github.com/bxiang233/panopticsegforlargescalepointcloud
공식 코드Towards accurate instance segmentation in large-scale LiDAR point clouds
https://github.com/bxiang233/panopticsegformobilemappingpointclouds
공식 코드A Review of Panoptic Segmentation for Mobile Mapping Point Clouds
https://github.com/bytedance/MTVQA
공식 코드MTVQA: Benchmarking Multilingual Text-Centric Visual Question Answering
https://github.com/caganselim/tltm
공식 코드Two-Level Temporal Relation Model for Online Video Instance Segmentation
https://github.com/caipeide/VTGNet
공식 코드VTGNet: A Vision-based Trajectory Generation Network for Autonomous Vehicles in Urban Environments
https://github.com/cake-lab/PointAR
공식 코드PointAR: Efficient Lighting Estimation for Mobile Augmented Reality
https://github.com/cake-lab/Xihe
공식 코드Xihe: A 3D Vision-based Lighting Estimation Framework for Mobile Augmented Reality
https://github.com/camma-public/surglatentgraph
공식 코드Optimizing Latent Graph Representations of Surgical Scenes for Zero-Shot Domain Transfer
https://github.com/carrierlxk/AGNN
공식 코드Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks
https://github.com/carrierlxk/COSNet
공식 코드See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks
https://github.com/carrierlxk/GraphMemVOS
공식 코드Video Object Segmentation with Episodic Graph Memory Networks
https://github.com/carrierlxk/MuG
공식 코드https://github.com/catalina17/VideoNavQA
공식 코드VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering
https://github.com/ch3cook-fdu/vote2cap-detr
공식 코드Vote2Cap-DETR++: Decoupling Localization and Describing for End-to-End 3D Dense Captioning
https://github.com/changhao-chen/deep-learning-localization-mapping
공식 코드https://github.com/chat-3d/chat-3d-v2
공식 코드Chat-Scene: Bridging 3D Scene and Large Language Models with Object Identifiers
https://github.com/chengzhag/DeepPanoContext
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.