1 citations · 2 across the 4 of their papers we have counts for
4 papers · 1 filter
Boosting Box-supervised Instance Segmentation with Pseudo Depth
Xinyi Yu, Ling Yan, Pengtao Jiang +4
The realm of Weakly Supervised Instance Segmentation (WSIS) under box supervision has garnered substantial attention, showcasing remarkable advancements in recent years. However, t…
Improving Neural Indoor Surface Reconstruction with Mask-Guided Adaptive Consistency Constraints
Xinyi Yu, Liqin Lu, Jintao Rong +2
3D scene reconstruction from 2D images has been a long-standing task. Instead of estimating per-frame depth maps and fusing them in 3D, recent research leverages the neural implici…
ShiftNAS: Improving One-shot NAS via Probability Shift
Mingyang Zhang, Xinyi Yu, Haodong Zhao +1
One-shot Neural architecture search (One-shot NAS) has been proposed as a time-efficient approach to obtain optimal subnet architectures and weights under different complexity case…
CrossFusion: Interleaving Cross-modal Complementation for Noise-resistant 3D Object Detection
Yang Yang, Weijie Ma, Hao Chen +2
The combination of LiDAR and camera modalities is proven to be necessary and typical for 3D object detection according to recent studies. Existing fusion strategies tend to overly…