Detection Transformer (DETR) and Deformable DETR have been proposed to eliminate the
need for many hand-designed components in object detection while demonstrating good …

Abstract Object State Changes (OSCs) are pivotal for video understanding. While humans
can effortlessly generalize OSC understanding from familiar to unknown objects current …

Object detection in remotely sensed satellite pictures is fundamental in many fields such as
biophysical and environmental monitoring. While deep learning algorithms are constantly …

Pancreatic cancer is a highly lethal disease with a poor prognosis. Its early diagnosis and
accurate treatment mainly rely on medical imaging, so accurate medical image analysis is …

Video object detection (VID) is challenging because of the high variation of object
appearance as well as the diverse deterioration in some frames. On the positive side, the …

Extracting useful visual cues for the downstream tasks is especially challenging under low-
light vision. Prior works create enhanced representations by either correlating visual quality …

Recent years have witnessed a trend of applying context frames to boost the performance of
object detection as video object detection. Existing methods usually aggregate features at …

Video object detection needs to solve feature degradation situations that rarely happen in
the image domain. One solution is to use the temporal information and fuse the features from …

Video satellites can continuously image large areas and provide dynamic, real-time
monitoring of hotspots and objects. The intelligent processing and analysis of satellite video …

Video object detection is a fundamental yet challenging task in computer vision. One
practical solution is to take advantage of temporal information from the video and apply …