The code has been tested with Python 3.9.13 and PyTorch 1.13.0 with CUDA 11.7. conda create --name emos python=3.9 conda activate emos pip install torch==1.13.0 ...
We present SegLLM, a novel multi-round interactive segmentation model that leverages conversational memory of both visual and textual outputs to reason over previously segmented objects and past ...
Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
Turn photos into 3D with Meta's SAM 3D, using SAM 2 masks and Gaussian splatting, so you can build assets quickly for ...
We tend to break things down into smaller components to make remembering easier. Event Segmentation Theory explains how we do ...
The Santiago Urban Dataset (SUD) is a new, composite dataset merging handheld mobile laser scanning (HMLS) and mobile laser ...
Weed control is essential in apple orchards because weeds compete with trees for nutrients, water and sunlight, which can ...
Abstract: Referring Video Object Segmentation (R-VOS) methods face challenges in maintaining consistent object segmentation due to temporal context variability and the presence of other visually ...
Abstract: Point cloud segmentation is a crucial technique for object recognition and localization, widely employed in various applications such as point cloud registration, 3D reconstruction, object ...
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