目标检测是计算机视觉领域中最基础且最重要的任务之一, 是行为识别与人机交互等高层视觉
任务的基础. 随着深度学习技术的发展, 目标检测模型的准确率和效率得到了大幅提升 …

Weakly supervised object detection in remote sensing images (RSI) is still a challenge
because of the lack of instance-level labels, and many existing methods have two problems …

Weakly supervised object detection (WSOD) has received widespread attention since it
requires only image-category annotations for detector training. Many advanced approaches …

Weakly-supervised object detection (WSOD) has emerged as an inspiring recent topic to
avoid expensive instance-level object annotations. However, the bounding boxes of most …

Object rotation is among long-standing, yet still unexplored, hard issues encountered in the
task of weakly supervised object detection (WSOD) from aerial images. Existing …

Temporal language grounding (TLG) is a fundamental and challenging problem for vision
and language understanding. Existing methods mainly focus on fully supervised setting with …

Abstract Weakly Supervised Object Detection (WSOD) is a task that detects objects in an
image using a model trained only on image-level annotations. Current state-of-the-art …

Recent progress in weakly supervised object detection is featured by a combination of
multiple instance detection networks (MIDN) and ordinal online refinement. However, with …

Object detection under imperfect data receives great attention recently. Weakly supervised
object detection (WSOD) suffers from severe localization issues due to the lack of instance …

Three-dimensional object detection utilizing LiDAR point cloud data is an indispensable part
of autonomous driving perception systems. Point cloud-based 3D object detection has been …