Remote sensing object detection (RSOD), one of the most fundamental and
...
Synthesizing physically plausible human motions in 3D scenes is a challe...
Brain signal visualization has emerged as an active research area, servi...
Click-based interactive segmentation enables productive pixel-level
anno...
CLIP (Contrastive Language-Image Pretraining) is well-developed for
open...
Video Instance Segmentation(VIS) aims at segmenting and categorizing obj...
General change detection (GCD) and semantic change detection (SCD) are c...
In this paper, we consider the problem of simultaneously detecting objec...
Weakly supervised object detection (WSOD) is a challenging task, in whic...
Dynamic attention mechanism and global modeling ability make Transformer...
Non-maximum suppression (NMS) is widely used in object detection pipelin...
In this paper, we propose a novel sequence verification task that aims t...
In this paper, we focus on the challenging multicategory instance
segmen...
Temporal action detection (TAD) aims to determine the semantic label and...
Fast appearance variations and the distractions of similar objects are t...
Current face detectors utilize anchors to frame a multi-task learning pr...
With the rapid development of deep convolutional neural network, face
de...
Object detection is a fundamental and challenging problem in aerial and
...
The approaches for analyzing the polarimetric scattering matrix of
polar...
Face detection has been well studied for many years and one of the remai...