In the field of visual scene understanding, deep neural networks have made impressive
advancements in various core tasks like segmentation, tracking, and detection. However …

As the most fundamental scene understanding tasks, object detection and segmentation
have made tremendous progress in deep learning era. Due to the expensive manual …

Open-vocabulary object detection (OVOD) aims to detect the objects beyond the set of
categories observed during training. This work presents a simple yet effective strategy that …

Open-world detection poses significant challenges as it requires the detection of any object
using either object class labels or free-form texts. Existing related works often use large …

The unsupervised 3D object detection is to accurately detect objects in unstructured
environments with no explicit supervisory signals. This task, given sparse LiDAR point …

Existing unified image segmentation models either employ a unified architecture across
multiple tasks but use separate weights tailored to each dataset, or apply a single set of …

Optical imagery ship detection has achieved significant developments recently. However,
accurate detection in complex scenes and for different-scale ships remains a vital challenge …

This paper presents VisualSiteDiary, a Vision Transformer-based image captioning model
which creates human-readable captions for daily progress and work activity log, and …

Open-vocabulary object detection (OVD) has been studied with Vision-Language Models
(VLMs) to detect novel objects beyond the pre-trained categories. Previous approaches …

Open-vocabulary object detection (OVOD) aims to detect the objects beyond the set of
classes observed during training. This work introduces a straightforward and efficient …