5 papers · 1 filter
Controllable-LPMoE: Adapting to Challenging Object Segmentation via Dynamic Local Priors from Mixture-of-Experts
Yanguang Sun, Jiawei Lian, Jian Yang +1
Large-scale foundation models provide powerful feature representations for downstream object segmentation tasks. However, when adapted to specific tasks through the full-parameter…
Straighten Viscous Rectified Flow via Noise Optimization
Jimin Dai, Jiexi Yan, Jian Yang +1
The Reflow operation aims to straighten the inference trajectories of the rectified flow during training by constructing deterministic couplings between noises and images, thereby…
Dual-Perspective United Transformer for Object Segmentation in Optical Remote Sensing Images
Yanguang Sun, Jiexi Yan, Jianjun Qian +3
Automatically segmenting objects from optical remote sensing images (ORSIs) is an important task. Most existing models are primarily based on either convolutional or Transformer fe…
M4-SAR: A Multi-Resolution, Multi-Polarization, Multi-Scene, Multi-Source Dataset and Benchmark for optical-SAR Object Detection
Chao Wang, Wei Lu, Xiang Li +2
Single-source remote sensing object detection using optical or SAR images struggles in complex environments. Optical images offer rich textural details but are often affected by lo…
Remote Photoplethysmography in Real-World and Extreme Lighting Scenarios
Hang Shao, Lei Luo, Jianjun Qian +3
Physiological activities can be manifested by the sensitive changes in facial imaging. While they are barely observable to our eyes, computer vision manners can, and the derived re…