Transformer meets remote sensing video detection and tracking: A comprehensive survey
Transformer has shown excellent performance in remote sensing field with long-range
modeling capabilities. Remote sensing video (RSV) moving object detection and tracking …
modeling capabilities. Remote sensing video (RSV) moving object detection and tracking …
EANTrack: An efficient attention network for visual tracking
Recently, Siamese trackers have gained widespread attention in visual tracking due to their
exceptional performance. However, many trackers still suffer from limitations in challenging …
exceptional performance. However, many trackers still suffer from limitations in challenging …
Repformer: a robust shared-encoder dual-pipeline transformer for visual tracking
Siamese-based trackers have achieved outstanding tracking performance. However, these
trackers in complex scenarios struggle to adequately integrate the valuable target feature …
trackers in complex scenarios struggle to adequately integrate the valuable target feature …
Glt-t: Global-local transformer voting for 3d single object tracking in point clouds
Current 3D single object tracking methods are typically based on VoteNet, a 3D region
proposal network. Despite the success, using a single seed point feature as the cue for offset …
proposal network. Despite the success, using a single seed point feature as the cue for offset …
Learning spatial-frequency transformer for visual object tracking
Recently, some researchers have begun to adopt the Transformer to combine or replace the
widely used ResNet as their new backbone network. As the Transformer captures the long …
widely used ResNet as their new backbone network. As the Transformer captures the long …
Learning localization-aware target confidence for siamese visual tracking
Siamese tracking paradigm has achieved great success, providing effective appearance
discrimination and size estimation by classification and regression. While such a paradigm …
discrimination and size estimation by classification and regression. While such a paradigm …
Memory network with pixel-level spatio-temporal learning for visual object tracking
Making full use of temporal and spatial information is critical to cope with the appearance
changes of objects in visual object tracking. However, existing methods in the tracking field …
changes of objects in visual object tracking. However, existing methods in the tracking field …
FAML-RT: Feature alignment-based multi-level similarity metric learning network for a two-stage robust tracker
Existing multi-stage trackers treat visual object tracking as a multiple feature extraction and
similarity metric process. However, the similarity metric methods used in them are typically …
similarity metric process. However, the similarity metric methods used in them are typically …
OSP2B: One-stage point-to-box network for 3D siamese tracking
Two-stage point-to-box network acts as a critical role in the recent popular 3D Siamese
tracking paradigm, which first generates proposals and then predicts corresponding …
tracking paradigm, which first generates proposals and then predicts corresponding …
MSA-MOT: Multi-stage association for 3D multimodality multi-object tracking
Three-dimensional multimodality multi-object tracking has attracted great attention due to
the use of complementary information. However, such a framework generally adopts a one …
the use of complementary information. However, such a framework generally adopts a one …