Single-model and any-modality for video object tracking
In the realm of video object tracking auxiliary modalities such as depth thermal or event data
have emerged as valuable assets to complement the RGB trackers. In practice most existing …
have emerged as valuable assets to complement the RGB trackers. In practice most existing …
[HTML][HTML] UAV (Unmanned Aerial Vehicle): Diverse Applications of UAV Datasets in Segmentation, Classification, Detection, and Tracking
Unmanned Aerial Vehicles (UAVs) have transformed the process of data collection and
analysis in a variety of research disciplines, delivering unparalleled adaptability and …
analysis in a variety of research disciplines, delivering unparalleled adaptability and …
Tracking transforming objects: A benchmark
Y Wu, Y Wang, Y Liao, F Wu, H Ye, S Li - Chinese Conference on Pattern …, 2024 - Springer
Tracking transforming objects holds significant importance in various fields due to the
dynamic nature of many real-world scenarios. By enabling systems accurately represent …
dynamic nature of many real-world scenarios. By enabling systems accurately represent …
[HTML][HTML] Parameter-Efficient Tuning for Object Tracking by Migrating Pre-Trained Decoders
R Zhang, L Wang, S Yang - Electronics, 2024 - mdpi.com
Video object tracking has taken advantage of pre-trained weights on large-scale datasets.
However, most trackers fully fine-tune all the backbone's parameters for adjusting to tracking …
However, most trackers fully fine-tune all the backbone's parameters for adjusting to tracking …
Learning motion blur robust vision transformers with dynamic early exit for real-time UAV tracking
Recently, the surge in the adoption of single-stream architectures utilizing pre-trained ViT
backbones represents a promising advancement in the field of generic visual tracking. By …
backbones represents a promising advancement in the field of generic visual tracking. By …
HTACPE: A Hybrid Transformer with Adaptive Content and Position Embedding for Sample Learning Efficiency of Hyperspectral Tracker
Transformer architecture has demonstrated significant potential in hyperspectral object
tracking by leveraging global correlation learning to accurately represent the data …
tracking by leveraging global correlation learning to accurately represent the data …
MambaNUT: Nighttime UAV Tracking via Mamba and Adaptive Curriculum Learning
Harnessing low-light enhancement and domain adaptation, nighttime UAV tracking has
made substantial strides. However, over-reliance on image enhancement, scarcity of high …
made substantial strides. However, over-reliance on image enhancement, scarcity of high …
Learning Multidimensional Spatial Attention for Robust Nighttime Visual Tracking
Q Gao, M Yin, Y Ni, Y Bo, S Bei - IEEE Signal Processing …, 2024 - ieeexplore.ieee.org
The recent development of advanced trackers, which use nighttime image enhancement
technology, has led to marked advances in the performance of visual tracking at night …
technology, has led to marked advances in the performance of visual tracking at night …
Learning Adaptive and View-Invariant Vision Transformer with Multi-Teacher Knowledge Distillation for Real-Time UAV Tracking
Y Wu, Y Li, M Liu, X Wang, X Yang, H Ye… - arXiv preprint arXiv …, 2024 - arxiv.org
Visual tracking has made significant strides due to the adoption of transformer-based
models. Most state-of-the-art trackers struggle to meet real-time processing demands on …
models. Most state-of-the-art trackers struggle to meet real-time processing demands on …
Low-Light Object Tracking: A Benchmark
P Zhong, X Guo, D Huang, X Peng, Y Li… - arXiv preprint arXiv …, 2024 - arxiv.org
In recent years, the field of visual tracking has made significant progress with the application
of large-scale training datasets. These datasets have supported the development of …
of large-scale training datasets. These datasets have supported the development of …