https://github.com/ht014/sg2hoi
공식 코드Exploiting Scene Graphs for Human-Object Interaction Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Human-Object Interaction (HOI) detection is a task of identifying "a set of interactions" in an image, which involves the i) localization of the subject (i.e., humans) and target (i.e., objects) of interaction, and ii) the classification of the interaction labels.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Exploiting Scene Graphs for Human-Object Interaction Detection
Efficient Explicit Joint-level Interaction Modeling with Mamba for Text-guided HOI Generation
StackFLOW: Monocular Human-Object Reconstruction by Stacked Normalizing Flow with Offset
Zero-Shot Temporal Interaction Localization for Egocentric Videos
Virtual Multi-Modality Self-Supervised Foreground Matting for Human-Object Interaction
Detecting Human-Object Interactions with Object-Guided Cross-Modal Calibrated Semantics
RLIP: Relational Language-Image Pre-training for Human-Object Interaction Detection
RLIPv2: Fast Scaling of Relational Language-Image Pre-training
Learning Continuous Grasping Function with a Dexterous Hand from Human Demonstrations
PersonaHOI: Effortlessly Improving Personalized Face with Human-Object Interaction Generation
HOTR: End-to-End Human-Object Interaction Detection with Transformers
RoHOI: Robustness Benchmark for Human-Object Interaction Detection
HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interaction
CORE4D: A 4D Human-Object-Human Interaction Dataset for Collaborative Object REarrangement
Visual-Geometric Collaborative Guidance for Affordance Learning
A Plug-and-Play Method for Rare Human-Object Interactions Detection by Bridging Domain Gap
Efficient Adaptive Human-Object Interaction Detection with Concept-guided Memory
Exploring the Potential of Large Foundation Models for Open-Vocabulary HOI Detection
Exploring Conditional Multi-Modal Prompts for Zero-shot HOI Detection
VolumetricSMPL: A Neural Volumetric Body Model for Efficient Interactions, Contacts, and Collisions
ENIGMA-51: Towards a Fine-Grained Understanding of Human-Object Interactions in Industrial Scenarios
End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation
Towards Hard-Positive Query Mining for DETR-based Human-Object Interaction Detection
PoseGPT: Quantization-based 3D Human Motion Generation and Forecasting
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.