Papers with Code 아카이브
Human Part Segmentation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Hulk: A Universal Knowledge Translator for Human-Centric Tasks
UniHCP: A Unified Model for Human-Centric Perceptions
Parsing Objects at a Finer Granularity: A Survey
KTN: Knowledge Transfer Network for Learning Multi-person 2D-3D Correspondences
Motion-Aware Transformer For Occluded Person Re-identification
PaddleSeg: A High-Efficient Development Toolkit for Image Segmentation
Cityscapes-Panoptic-Parts and PASCAL-Panoptic-Parts datasets for Scene Understanding
Self-Correction for Human Parsing
Cross-Domain Complementary Learning Using Pose for Multi-Person Part Segmentation
Parsing R-CNN for Instance-Level Human Analysis
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction
Instance-level Human Parsing via Part Grouping Network
Macro-Micro Adversarial Network for Human Parsing
Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer
Joint Multi-Person Pose Estimation and Semantic Part Segmentation
Mask R-CNN
Learning from Synthetic Humans
UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory
Zoom Better to See Clearer: Human and Object Parsing with Hierarchical Auto-Zoom Net
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.