Papers Multi-Human Parsing
“Multi-Human Parsing” 태그가 달린 논문 12편 · 필터 해제
Leveraging Multi-View Weak Supervision for Occlusion-Aware Multi-Human Parsing
Multi-human parsing is the task of segmenting human body parts while associating each part to the person it belongs to, combining instance-level and part-level information for fine-grained human understanding. In this wo…
Human Instance SegmentationMulti-Human ParsingUniParser: Multi-Human Parsing with Unified Correlation Representation Learning
Multi-human parsing is an image segmentation task necessitating both instance-level and fine-grained category-level information. However, prior research has typically processed these two types of information through sepa…
Human ParsingImage SegmentationMulti-Human ParsingRepresentation Learning+1Single-stage Multi-human Parsing via Point Sets and Center-based Offsets
This work studies the multi-human parsing problem. Existing methods, either following top-down or bottom-up two-stage paradigms, usually involve expensive computational costs. We instead present a high-performance Single…
Human ParsingMulti-Human ParsingNondiscriminatory Treatment: a straightforward framework for multi-human parsing
Multi-human parsing aims to segment every body part of every human instance. Nearly all state-of-the-art methods follow the "detection first" or "segmentation first" pipelines. Different from them, we present an end-to-e…
Human ParsingInstance SegmentationMulti-Human ParsingSegmentation+1Cross-Domain Complementary Learning Using Pose for Multi-Person Part Segmentation
Supervised deep learning with pixel-wise training labels has great successes on multi-person part segmentation. However, data labeling at pixel-level is very expensive. To solve the problem, people have been exploring to…
Domain AdaptationHuman Part SegmentationMulti-Human ParsingPose Estimation+1Parsing R-CNN for Instance-Level Human Analysis
Instance-level human analysis is common in real-life scenarios and has multiple manifestations, such as human part segmentation, dense pose estimation, human-object interactions, etc. Models need to distinguish different…
Human ParsingHuman Part SegmentationMulti-Human ParsingPose EstimationUnderstanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing
Despite the noticeable progress in perceptual tasks like detection, instance segmentation and human parsing, computers still perform unsatisfactorily on visually understanding humans in crowded scenes, such as group beha…
Autonomous DrivingClusteringGenerative Adversarial NetworkHuman Parsing+5Holistic, Instance-Level Human Parsing
Object parsing -- the task of decomposing an object into its semantic parts -- has traditionally been formulated as a category-level segmentation problem. Consequently, when there are multiple objects in an image, curren…
Human DetectionHuman ParsingMulti-Human ParsingObject+1Semantic Instance Segmentation with a Discriminative Loss Function
Semantic instance segmentation remains a challenging task. In this work we propose to tackle the problem with a discriminative loss function, operating at the pixel level, that encourages a convolutional network to produ…
Instance SegmentationLane DetectionMetric LearningMulti-Human Parsing+2Multiple-Human Parsing in the Wild
Human parsing is attracting increasing research attention. In this work, we aim to push the frontier of human parsing by introducing the problem of multi-human parsing in the wild. Existing works on human parsing mainly …
Human ParsingMulti-Human ParsingMask R-CNN
We present a conceptually simple, flexible, and general framework for object instance segmentation. Our approach efficiently detects objects in an image while simultaneously generating a high-quality segmentation mask fo…
3D Instance SegmentationHuman Part SegmentationInstance SegmentationKeypoint Detection+14Instance-aware Semantic Segmentation via Multi-task Network Cascades
Semantic segmentation research has recently witnessed rapid progress, but many leading methods are unable to identify object instances. In this paper, we present Multi-task Network Cascades for instance-aware semantic se…
Multi-Human Parsingobject-detectionObject DetectionSegmentation+1