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Generalizable Person Re-identification
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Generalizable person re-identification refers to methods trained on a source dataset but directly evaluated on a target dataset without domain adaptation or transfer learning.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Unleashing the Potential of Pre-Trained Diffusion Models for Generalizable Person Re-Identification
CILP-FGDI: Exploiting Vision-Language Model for Generalizable Person Re-Identification
Generalizable Person Re-identification via Balancing Alignment and Uniformity
ReMix: Training Generalized Person Re-identification on a Mixture of Data
CLIP-DFGS: A Hard Sample Mining Method for CLIP in Generalizable Person Re-Identification
Identity-Seeking Self-Supervised Representation Learning for Generalizable Person Re-identification
Part-Aware Transformer for Generalizable Person Re-identification
Learning Robust Visual-Semantic Embedding for Generalizable Person Re-identification
Generalizable Person Re-Identification via Viewpoint Alignment and Fusion
Generalizable Re-Identification from Videos with Cycle Association
Deep Multimodal Fusion for Generalizable Person Re-identification
Is Synthetic Dataset Reliable for Benchmarking Generalizable Person Re-Identification?
Style Variable and Irrelevant Learning for Generalizable Person Re-identification
Style Interleaved Learning for Generalizable Person Re-identification
Towards Generalizable Person Re-identification with a Bi-stream Generative Model
Cloning Outfits from Real-World Images to 3D Characters for Generalizable Person Re-Identification
Debiased Batch Normalization via Gaussian Process for Generalizable Person Re-Identification
Generalizable Person Re-Identification via Self-Supervised Batch Norm Test-Time Adaption
Mimic Embedding via Adaptive Aggregation: Learning Generalizable Person Re-identification
TAL: Two-stream Adaptive Learning for Generalizable Person Re-identification
Calibrated Feature Decomposition for Generalizable Person Re-Identification
Benchmarks for Corruption Invariant Person Re-identification
Semi-Supervised Domain Generalizable Person Re-Identification
Domain-Class Correlation Decomposition for Generalizable Person Re-Identification
TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification
Generalizable Person Re-identification with Relevance-aware Mixture of Experts
Adaptive Domain-Specific Normalization for Generalizable Person Re-Identification
Generalizable Multi-Camera 3D Pedestrian Detection
Graph Sampling Based Deep Metric Learning for Generalizable Person Re-Identification
Learning Domain Invariant Representations for Generalizable Person Re-Identification
Meta Batch-Instance Normalization for Generalizable Person Re-Identification
DomainMix: Learning Generalizable Person Re-Identification Without Human Annotations
Domain Generalized Person Re-Identification via Cross-Domain Episodic Learning
Dual Distribution Alignment Network for Generalizable Person Re-Identification
Surpassing Real-World Source Training Data: Random 3D Characters for Generalizable Person Re-Identification
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