Aggregation and Finetuning for Clothes Landmark Detection

05/01/2020
by   Tzu-heng Lin, et al.
5

Landmark detection for clothes is a fundamental problem for many applications. In this paper, a new training scheme for clothes landmark detection: Aggregation and Finetuning, is proposed. We investigate the homogeneity among landmarks of different categories of clothes, and utilize it to design the procedure of training. Extensive experiments show that our method outperforms current state-of-the-art methods by a large margin. Our method also won the 1st place in the DeepFashion2 Challenge 2020 - Clothes Landmark Estimation Track with an AP of 0.590 on the test set, and 0.615 on the validation set. Code will be publicly available at https://github.com/lzhbrian/deepfashion2-kps-agg-finetune .

READ FULL TEXT

page 1

page 2

page 3

page 4

research
08/18/2019

Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Translation

Facial landmark detection, or face alignment, is a fundamental task that...
research
01/09/2020

Vertebra-Focused Landmark Detection for Scoliosis Assessment

Adolescent idiopathic scoliosis (AIS) is a lifetime disease that arises ...
research
12/06/2021

MetaCloth: Learning Unseen Tasks of Dense Fashion Landmark Detection from a Few Samples

Recent advanced methods for fashion landmark detection are mainly driven...
research
11/01/2021

Feature Aggregation and Refinement Network for 2D AnatomicalLandmark Detection

Localization of anatomical landmarks is essential for clinical diagnosis...
research
09/19/2023

Unsupervised Landmark Discovery Using Consistency Guided Bottleneck

We study a challenging problem of unsupervised discovery of object landm...
research
11/16/2021

Point detection through multi-instance deep heatmap regression for sutures in endoscopy

Purpose: Mitral valve repair is a complex minimally invasive surgery of ...
research
12/09/2022

CEPHA29: Automatic Cephalometric Landmark Detection Challenge 2023

Quantitative cephalometric analysis is the most widely used clinical and...

Please sign up or login with your details

Forgot password? Click here to reset