6 accepted papers
3D cars are widely used in self-driving systems, virtual and augmented reality, and gaming applications. However, existing 3D car datasets are either synthetic or low-quality, limiting their practical utility and leaving a significant gap with the high-quality real-world 3D car dataset. In this pape…
Retina images provide a noninvasive view of the central nervous system and microvasculature, making it essential for clinical applications. Changes in the retina often indicate both ophthalmic and systemic diseases, aiding in diagnosis and early intervention. While deep learning algorithms have adva
Existing audio-visual segmentation datasets typically focus on short-trimmed videos with only one pixel-map annotation for a per-second video clip. In contrast for untrimmed videos the sound duration start- and end-sounding time positions and visual deformation of audible objects vary significantly.…
Isolated Sign Language Recognition (ISLR) focuses on identifying individual sign language glosses. Considering the diversity of sign languages across geographical regions, developing region-specific ISLR datasets is crucial for supporting communication and research. Auslan, as a sign language specif…
Sign language translation (SLT) aims to convert a continuous sign language video clip into a spoken language. Considering different geographic regions generally have their own native sign languages, it is valuable to establish corresponding SLT datasets to support related communication and research.…
Retinal vessel segmentation is generally grounded in image-based datasets collected with bench-top devices. The static images naturally lose the dynamic characteristics of retina fluctuation, resulting in diminished dataset richness, and the usage of bench-top devices further restricts dataset scal…