Detecting tiny objects is one of the main obstacles hindering the development of object
detection. The performance of generic object detectors tends to drastically deteriorate on tiny …

Multi-object tracking (MOT) is an important problem in computer vision which has a wide
range of applications. Formulating MOT as multi-task learning of object detection and re-ID …

This paper presents a simple MLP-like architecture, CycleMLP, which is a versatile
backbone for visual recognition and dense predictions. As compared to modern MLP …

Deriving reliable region-word alignment from image-text pairs is critical to learnobject-level
vision-language representations for open-vocabulary object detection. Existing methods …

An Axial Shifted MLP architecture (AS-MLP) is proposed in this paper. Different from MLP-
Mixer, where the global spatial feature is encoded for information flow through matrix …

摘要视觉目标检测旨在定位和识别图像中存在的物体, 属于计算机视觉领域的经典任务之一,
也是许多计算机视觉任务的前提与基础, 在自动驾驶, 视频监控等领域具有重要的应用价值 …

In this paper, we propose a conceptually novel, efficient, and fully convolutional framework
for real-time instance segmentation. Previously, most instance segmentation methods …

Monocular 3D object detection has long been a challenging task in autonomous driving.
Most existing methods follow conventional 2D detectors to first localize object centers, and …

Traditional object detectors employ the dense paradigm of scanning over locations and
scales in an image. The recent query-based object detectors break this convention by …

Referring video object segmentation (R-VOS) is an emerging cross-modal task that aims to
segment the target object referred by a language expression in all video frames. In this work …