2 papers
cs.CV2026
Contrastive Augmented Transformer with Domain-specific Enhancement for Robust Multi-scenario Metal Surface Defect Detection
Yiyao Liu, Wenxiao He, Liyuan Ren +1
Metal surface defect detection is critical for maintaining product quality in industrial manufacturing. However, it faces significant challenges, including limited annotated data,…
cs.CV2026
QVGGT: Post-Training Quantized Visual Geometry Grounded Transformer
Zhizhen Pan, Hesong Wang, Huan Wang
Estimating 3D attributes directly from images has advanced rapidly with the Visual Geometry Grounded Transformer (VGGT), which predicts camera parameters, depth maps, and point clo…