Papers with Code 아카이브

Contact Detection

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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평가표

1

보존된 평가 기록

4

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/banksylel/h-fcbformer

공식 코드

H-FCBFormer Hierarchical Fully Convolutional Branch Transformer for Occlusal Contact Segmentation with Articulating Paper

https://github.com/danfoa/morphosymm

공식 코드

On discrete symmetries of robotics systems: A group-theoretic and data-driven analysis

https://github.com/danfoa/robotequivariantnn

공식 코드

On discrete symmetries of robotics systems: A group-theoretic and data-driven analysis

https://github.com/dqj5182/contho_release

공식 코드

Joint Reconstruction of 3D Human and Object via Contact-Based Refinement Transformer

https://github.com/edieussa/pa_data_and_figures

공식 코드

Non-contact photoacoustic imaging with a silicon photonics-based Laser Doppler Vibrometer

https://github.com/michaelmarav/lcd

공식 코드

Robust Contact State Estimation in Humanoid Walking Gaits

https://github.com/mikelu-shanghai/CrackIdentificationEvaluation-via-DeepLearning

공식 코드

Evaluation and Comparison of Deep Learning Methods for Pavement Crack Identification with Visual Images

https://github.com/mohamedhassanmus/POSA

공식 코드

Populating 3D Scenes by Learning Human-Scene Interaction

https://github.com/ostadabbas/nns-detection-and-segmentation

공식 코드

Subtle Signals: Video-based Detection of Infant Non-nutritive Sucking as a Neurodevelopmental Cue

https://github.com/paulchhuang/bstro

공식 코드

Capturing and Inferring Dense Full-Body Human-Scene Contact

https://github.com/paulchhuang/rich_toolkit

공식 코드

Capturing and Inferring Dense Full-Body Human-Scene Contact

https://github.com/sha2nkt/deco

공식 코드

DECO: Dense Estimation of 3D Human-Scene Contact In The Wild

https://github.com/sminchisescu-research/imar_vision_datasets_tools

공식 코드

Reconstructing Three-Dimensional Models of Interacting Humans

https://github.com/ut-vision/video-independent-ecs

공식 코드

Learning Video-independent Eye Contact Segmentation from In-the-Wild Videos

https://github.com/vita-epfl/looking

공식 코드

Do Pedestrians Pay Attention? Eye Contact Detection in the Wild

https://github.com/xiexh20/behave-dataset

공식 코드

BEHAVE: Dataset and Method for Tracking Human Object Interactions

https://github.com/CarstenEpic/humos

DECO: Dense Estimation of 3D Human-Scene Contact In The Wild

https://github.com/dqj5182/HACO_RELEASE

Learning Dense Hand Contact Estimation from Imbalanced Data

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.