4 papers
Interest Entanglement: The Hidden Barrier to Blind Super-Resolution Optimization
Junxiong Lin, Xinji Mai, Qianyu Guo +5
Fidelity and perceptual quality are two inherently competing and conflicting objectives in the image super-resolution (SR) task. Different loss functions focus on these objectives…
Adaptive Attention Distillation for Robust Few-Shot Segmentation under Environmental Perturbations
Qianyu Guo, Jingrong Wu, Jieji Ren +2
Few-shot segmentation (FSS) aims to rapidly learn novel class concepts from limited examples to segment specific targets in unseen images, and has been widely applied in areas such…
AnimatePainter: A Self-Supervised Rendering Framework for Reconstructing Painting Process
Junjie Hu, Shuyong Gao, Qianyu Guo +4
Humans can intuitively decompose an image into a sequence of strokes to create a painting, yet existing methods for generating drawing processes are limited to specific data types…
Enhancing Environmental Robustness in Few-shot Learning via Conditional Representation Learning
Qianyu Guo, Jingrong Wu, Tianxing Wu +3
Few-shot learning (FSL) has recently been extensively utilized to overcome the scarcity of training data in domain-specific visual recognition. In real-world scenarios, environment…