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cs.CV2026
Label Shift Aware Adaptation for Online Zero-shot Learning with Contrastive Language-Image Pre-Training (CLIP)
Pengxiao Han, Changkun Ye, Yanshuo Wang +5
Vision-language models like Contrastive Language-Image Pre-Training (CLIP) have been extensively studied in data-scarce scenarios. A particularly challenging and realistic task in…
cs.CV2025
Enhancing Diffusion-based Dataset Distillation via Adversary-Guided Curriculum Sampling
Lexiao Zou, Gongwei Chen, Yanda Chen +1
Dataset distillation aims to encapsulate the rich information contained in dataset into a compact distilled dataset but it faces performance degradation as the image-per-class (IPC…
cs.CV2024★ 1 cited
Configurable Fairness: Direct Optimization of Parity Metrics via Vision-Language Models
Miao Zhang, Rumi Chunara
Performance disparities of image recognition across demographic groups are known to exist in deep learning-based models, due to imbalanced group representations or spurious correla…