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Point2RBox-v3: Self-Bootstrapping from Point Annotations via Integrated Pseudo-Label Refinement and Utilization
Arxiv
0+阅读 · 9月30日
Lost in Translation? Vocabulary Alignment for Source-Free Adaptation in Open-Vocabulary Semantic Segmentation
Arxiv
0+阅读 · 9月29日
ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning
Arxiv
0+阅读 · 5月8日
Do It Yourself: Learning Semantic Correspondence from Pseudo-Labels
Arxiv
0+阅读 · 6月26日
Do It Yourself: Learning Semantic Correspondence from Pseudo-Labels
Arxiv
0+阅读 · 6月5日
Do It Yourself: Learning Semantic Correspondence from Pseudo-Labels
Arxiv
0+阅读 · 9月23日
Just Say the Word: Annotation-Free Fine-Grained Object Counting
Arxiv
0+阅读 · 9月11日
IntrinsicReal: Adapting IntrinsicAnything from Synthetic to Real Objects
Arxiv
0+阅读 · 8月31日
Robust Noisy Pseudo-label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model
Arxiv
0+阅读 · 7月22日
uDistil-Whisper: Label-Free Data Filtering for Knowledge Distillation in Low-Data Regimes
Arxiv
0+阅读 · 5月15日
Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking
Arxiv
0+阅读 · 5月6日
SOOD++: Leveraging Unlabeled Data to Boost Oriented Object Detection
Arxiv
0+阅读 · 9月25日
Graph-Based Uncertainty-Aware Self-Training with Stochastic Node Labeling
Arxiv
0+阅读 · 7月29日
CW-BASS: Confidence-Weighted Boundary-Aware Learning for Semi-Supervised Semantic Segmentation
Arxiv
0+阅读 · 4月9日
Semi-Supervised Biomedical Image Segmentation via Diffusion Models and Teacher-Student Co-Training
Semi-Supervised Biomedical Image Segmentation via Diffusion Models and Teacher-Student Co-Training
Arxiv
0+阅读 · 4月2日
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