Detecting breast lesion in videos is crucial for computer-aided diagnosi...
This paper introduces an approach, named DFormer, for universal image
se...
Vision Transformers have shown promising progress in various object dete...
We propose an end-to-end one-step person search approach with learnable
...
Weakly supervised person search aims to perform joint pedestrian detecti...
Multiple object tracking (MOT) is the task containing detection and
asso...
We propose a novel one-step transformer-based person search framework, P...
State-of-the-art transformer-based video instance segmentation (VIS)
app...
Fast stereo based 3D object detectors have made great progress in the se...
Pseudo-LiDAR based 3D object detectors have gained popularity due to the...
Most online multi-object trackers perform object detection stand-alone i...
Object detectors usually achieve promising results with the supervision ...
Vehicles, pedestrians, and riders are the most important and interesting...
Pedestrian detection is an important but challenging problem in computer...
Single-stage instance segmentation approaches have recently gained popul...
Due to the advantages of real-time detection and improved performance,
s...
Joint object detection and semantic segmentation can be applied to many
...
To better detect pedestrians of various scales, deep multi-scale methods...
Pedestrian detection based on the combination of Convolutional Neural Ne...