6 papers
FSDC-DETR: A Frequency-Spatial Domain Collaborative DETR for Small Object Detection
Aiwen Liu, Chengguang Zhu, Gang Wang +5
Small object detection (SOD) remains a challenging task in real-world applications. Despite recent advances, existing detectors remain limited by rigid processing that entangle spa…
ExtrinSplat: Decoupling Geometry and Semantics for Open-Vocabulary Understanding in 3D Gaussian Splatting
Jiayu Ding, Xinpeng Liu, Zhiyi Pan +2
Lifting 2D open-vocabulary understanding into 3D Gaussian Splatting (3DGS) scenes is a critical challenge. Mainstream methods, built on an embedding paradigm, suffer from three key…
Point Cloud Semantic Segmentation with Sparse and Inhomogeneous Annotations
Zhiyi Pan, Nan Zhang, Wei Gao +2
Utilizing uniformly distributed sparse annotations, weakly supervised learning alleviates the heavy reliance on fine-grained annotations in point cloud semantic segmentation tasks.…
EPContrast: Effective Point-level Contrastive Learning for Large-scale Point Cloud Understanding
Zhiyi Pan, Guoqing Liu, Wei Gao +1
The acquisition of inductive bias through point-level contrastive learning holds paramount significance in point cloud pre-training. However, the square growth in computational req…
Distribution Guidance Network for Weakly Supervised Point Cloud Semantic Segmentation
Zhiyi Pan, Wei Gao, Shan Liu +1
Despite alleviating the dependence on dense annotations inherent to fully supervised methods, weakly supervised point cloud semantic segmentation suffers from inadequate supervisio…
Perspective+ Unet: Enhancing Segmentation with Bi-Path Fusion and Efficient Non-Local Attention for Superior Receptive Fields
Jintong Hu, Siyan Chen, Zhiyi Pan +2
Precise segmentation of medical images is fundamental for extracting critical clinical information, which plays a pivotal role in enhancing the accuracy of diagnoses, formulating e…