5 papers
Fast and Scalable Analytical Diffusion
Xinyi Shang, Peng Sun, Jingyu Lin +1
Analytical diffusion models offer a mathematically transparent path to generative modeling by formulating the denoising score as an empirical-Bayes posterior mean. However, this in…
Duality Models: An Embarrassingly Simple One-step Generation Paradigm
Peng Sun, Xinyi Shang, Tao Lin +1
Consistency-based generative models like Shortcut and MeanFlow achieve impressive results via a target-aware design for solving the Probability Flow ODE (PF-ODE). Typically, such m…
OD3: Optimization-free Dataset Distillation for Object Detection
Salwa K. Al Khatib, Ahmed ElHagry, Shitong Shao +1
Training large neural networks on large-scale datasets requires substantial computational resources, particularly for dense prediction tasks such as object detection. Although data…
Knowledge Consultation for Semi-Supervised Semantic Segmentation
Thuan Than, Nhat-Anh Nguyen-Dang, Dung Nguyen +7
Semi-Supervised Semantic Segmentation reduces reliance on extensive annotations by using unlabeled data and state-of-the-art models to improve overall performance. Despite the succ…
Cross-Cluster Shifting for Efficient and Effective 3D Object Detection in Autonomous Driving
Zhili Chen, Kien T. Pham, Maosheng Ye +2
We present a new 3D point-based detector model, named Shift-SSD, for precise 3D object detection in autonomous driving. Traditional point-based 3D object detectors often employ arc…