This paper introduces Grounding DINO 1.5, a suite of advanced open-set object detection
models developed by IDEA Research, which aims to advance the" Edge" of open-set object …

PSALM is a powerful extension of the Large Multi-modal Model (LMM) to address the
segmentation task challenges. To overcome the limitation of the LMM being limited to textual …

We present VisionLLM v2, an end-to-end generalist multimodal large model (MLLM) that
unifies visual perception, understanding, and generation within a single framework. Unlike …

Using instance segmentation and video inpainting provides a significant leap in real-time
football video broadcast enhancements by removing potential visual distractions, such as an …

In recent years, the significance of unmanned surface vehicles (USVs) has grown
substantially across a wide range of applications. Monocular cameras, as the most common …

A vision model with general-purpose object-level 3D understanding should be capable of
inferring both 2D (eg, class name and bounding box) and 3D information (eg, 3D location …

The reference-based object segmentation tasks, namely referring image segmentation
(RIS), few-shot image segmentation (FSS), referring video object segmentation (RVOS), and …

Motion Expression guided Video Segmentation (MeViS), as an emerging task, poses many
new challenges to the field of referring video object segmentation (RVOS). In this technical …

Video Foundation Models (ViFMs) aim to learn a general-purpose representation for various
video understanding tasks. Leveraging large-scale datasets and powerful models, ViFMs …

Monocular vision-based 3D object detection is crucial in various sectors, yet existing
methods face significant challenges in terms of accuracy and computational efficiency …