Object detection, as of one the most fundamental and challenging problems in computer
vision, has received great attention in recent years. Over the past two decades, we have …

The past few years have witnessed the immense success of object detection, while current
excellent detectors struggle on tackling size-limited instances. Concretely, the well-known …

Remote sensing object detection (RSOD), one of the most fundamental and challenging
tasks in the remote sensing field, has received long-standing attention. In recent years, deep …

Object detection is a fundamental yet challenging task in computer vision. Despite the great
strides made over recent years, modern detectors may still produce unsatisfactory …

In recent years, few-shot segmentation (FSS) has received widespread attention from
scholars by virtue of its superiority in low-data regimes. Most existing research focuses on …

Detecting objects in aerial images is challenging because they are typically composed of
crowded small objects distributed non-uniformly over high-resolution (in terms of pixel size) …

Despite the prominent success of general object detection, the performance and efficiency of
Small Object Detection (SOD) are still unsatisfactory. Unlike existing works that struggle to …

Environmental perception is crucial for autonomous ships realizing autonomous navigation,
in particular, the high-precision and low-latency detection of small objects on the sea surface …

Object detection in remote sensing images has garnered significant attention due to its wide
applications in real-world scenarios. However, most existing oriented object detectors still …

The rapid development of unmanned aerial vehicle (UAV) technology has contributed to the
increasing sophistication of UAV-based object-detection systems, which are now extensively …