3 papers
cs.CV2025
HyM-UNet: Synergizing Local Texture and Global Context via Hybrid CNN-Mamba Architecture for Medical Image Segmentation
Haodong Chen, Xianfei Han, Qwen
Accurate organ and lesion segmentation is a critical prerequisite for computer-aided diagnosis. Convolutional Neural Networks (CNNs), constrained by their local receptive fields, o…
cs.CV2025
CoCoDiff: Diversifying Skeleton Action Features via Coarse-Fine Text-Co-Guided Latent Diffusion
Zhifu Zhao, Hanyang Hua, Jianan Li +4
In action recognition tasks, feature diversity is essential for enhancing model generalization and performance. Existing methods typically promote feature diversity by expanding th…
cs.CV2025
Falcon: Fractional Alternating Cut with Overcoming Minima in Unsupervised Segmentation
Xiao Zhang, Xiangyu Han, Xiwen Lai +3
Today's unsupervised image segmentation algorithms often segment suboptimally. Modern graph-cut based approaches rely on high-dimensional attention maps from Transformer-based foun…