atlas

Research map / Label-efficient and robust learning / Recognition and long-tail

Fine-Grained Shape-Appearance Mutual Learning for Cloth-Changing Person Re-Identification

CVPR 2021 · Label-efficient and robust learning › Recognition and long-tail · approach: Supervised person re-identification · 206 citations (OpenAlex)

Check your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use FSAM instead of RGA-SCcloth-changing Re-ID · LTCCR-1: 31.4 -> 38.5Helped
Use FSAM instead of RGA-SCcloth-changing Re-ID · PRCCR-1: 42.3 -> 54.5Helped
Use FSAM instead of ISPcloth-changing Re-ID · VC-ClothesR-1: 72.0 -> 78.6Helped
Add logit-level mutual learning (ablation)appearance stream · LTCC and PRCC cloth-changingR-1: LTCC 29.8 -> 31.6; PRCC 43.7 -> 47.6Helped
Add dense similarity interaction (ablation)FSAM with logit-level mutual learning · LTCC and PRCC cloth-changingR-1: LTCC 31.6 -> 34.4; PRCC 47.6 -> 51.3Helped
Add parsing knowledge preservation (ablation)FSAM · LTCC and PRCC cloth-changingR-1: LTCC 34.4 -> 35.5; PRCC 51.3 -> 53.1Helped
Use pose-specific branches rather than a plain multi-branch structure (ablation)shape feature extractor in FSAM · LTCC and PRCC cloth-changingR-1: LTCC 33.9 -> 38.5; PRCC 52.3 -> 54.5Helped
Add identity guidance to mask learning (ablation)shape stream · LTCC cloth-changingR-1: 9.7 -> 16.3Helped
Add identity-guided shape masks to mutual learning (ablation)FSAM · PRCC cloth-changingR-1: 48.3 -> 54.5Helped
Use two-way rather than one-way shape-to-appearance transfer (ablation)FSAM · PRCC cloth-changingR-1: 52.0 -> 54.5Helped
Use shape masks rather than RGB images in the shape stream (ablation)FSAM mutual learning · PRCC cloth-changingR-1: 51.8 -> 54.5Helped
Use FSAM instead of the baselinestandard Re-ID · DukeMTMCR-1: 85.5 -> 86.4Hurt

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy