3 papers
cs.CV2026
Report of the 5th PVUW Challenge: Towards More Diverse Modalities in Pixel-Level Understanding
Chang Liu, Henghui Ding, Nikhila Ravi +40
This report summarizes the objectives, datasets, and top-performing methodologies of the 2026 Pixel-level Video Understanding in the Wild (PVUW) Challenge, hosted at CVPR 2026, whi…
cs.CV2026
2nd of the 5th PVUW MeViS-Audio Track: ASR-SaSaSa2VA
Zhiyu Wang, Xudong Kang, Shutao Li
Audio-based video object segmentation aims to locate and segment objects in videos conditioned on audio cues, requiring precise understanding of both appearance and motion. Recent…
cs.CV2025
Learning from Noisy Pseudo-labels for All-Weather Land Cover Mapping
Wang Liu, Zhiyu Wang, Xin Guo +3
Semantic segmentation of SAR images has garnered significant attention in remote sensing due to the immunity of SAR sensors to cloudy weather and light conditions. Nevertheless, SA…