Semantic Segmentation
Semantic segmentation, the task of assigning a semantic label to each pixel in an image, aims to achieve precise pixel-level scene understanding. Current research emphasizes improving accuracy and efficiency across diverse data modalities (RGB, depth, lidar, hyperspectral, and time series) and challenging conditions (low light, adverse weather, imbalanced datasets), often employing advanced architectures like transformers and diffusion models alongside innovative loss functions and training strategies. This field is crucial for numerous applications, including autonomous driving, medical image analysis, remote sensing, and robotics, driving advancements in both model robustness and interpretability.
Papers
HaarNet: Large-scale Linear-Morphological Hybrid Network for RGB-D Semantic Segmentation
Rick Groenendijk, Leo Dorst, Theo Gevers
CLIP for Lightweight Semantic Segmentation
Ke Jin, Wankou Yang
Causal Unsupervised Semantic Segmentation
Junho Kim, Byung-Kwan Lee, Yong Man Ro
Distilling Efficient Vision Transformers from CNNs for Semantic Segmentation
Xu Zheng, Yunhao Luo, Pengyuan Zhou, Lin Wang
Enhancing Representations through Heterogeneous Self-Supervised Learning
Zhong-Yu Li, Bo-Wen Yin, Yongxiang Liu, Li Liu, Ming-Ming Cheng
Low-Resolution Self-Attention for Semantic Segmentation
Yu-Huan Wu, Shi-Chen Zhang, Yun Liu, Le Zhang, Xin Zhan, Daquan Zhou, Jiashi Feng, Ming-Ming Cheng, Liangli Zhen
SemST: Semantically Consistent Multi-Scale Image Translation via Structure-Texture Alignment
Ganning Zhao, Wenhui Cui, Suya You, C. -C. Jay Kuo
Towards Dynamic and Small Objects Refinement for Unsupervised Domain Adaptative Nighttime Semantic Segmentation
Jingyi Pan, Sihang Li, Yucheng Chen, Jinjing Zhu, Lin Wang
Memory-Constrained Semantic Segmentation for Ultra-High Resolution UAV Imagery
Qi Li, Jiaxin Cai, Yuanlong Yu, Jason Gu, Jia Pan, Wenxi Liu
Semantic segmentation of longitudinal thermal images for identification of hot and cool spots in urban areas
Vasantha Ramani, Pandarasamy Arjunan, Kameshwar Poolla, Clayton Miller
DiffPrompter: Differentiable Implicit Visual Prompts for Semantic-Segmentation in Adverse Conditions
Sanket Kalwar, Mihir Ungarala, Shruti Jain, Aaron Monis, Krishna Reddy Konda, Sourav Garg, K Madhava Krishna
A Deeply Supervised Semantic Segmentation Method Based on GAN
Wei Zhao, Qiyu Wei, Zeng Zeng