2 papers
cs.CV2025
Monte Carlo Diffusion for Generalizable Learning-Based RANSAC
Jiale Wang, Chen Zhao, Wei Ke +1
Random Sample Consensus (RANSAC) is a fundamental approach for robustly estimating parametric models from noisy data. Existing learning-based RANSAC methods utilize deep learning t…
cs.CV2024
Language-Driven Visual Consensus for Zero-Shot Semantic Segmentation
Zicheng Zhang, Tong Zhang, Yi Zhu +4
The pre-trained vision-language model, exemplified by CLIP, advances zero-shot semantic segmentation by aligning visual features with class embeddings through a transformer decoder…