Generalized relation modeling for transformer tracking
Compared with previous two-stream trackers, the recent one-stream tracking pipeline, which
allows earlier interaction between the template and search region, has achieved a …
allows earlier interaction between the template and search region, has achieved a …
The first visual object tracking segmentation vots2023 challenge results
Abstract The Visual Object Tracking Segmentation VOTS2023 challenge is the eleventh
annual tracker benchmarking activity of the VOT initiative. This challenge is the first to merge …
annual tracker benchmarking activity of the VOT initiative. This challenge is the first to merge …
Separable self and mixed attention transformers for efficient object tracking
GY Gopal, MA Amer - Proceedings of the IEEE/CVF Winter …, 2024 - openaccess.thecvf.com
The deployment of transformers for visual object tracking has shown state-of-the-art results
on several benchmarks. However, the transformer-based models are under-utilized for …
on several benchmarks. However, the transformer-based models are under-utilized for …
Unifying Visual and Vision-Language Tracking via Contrastive Learning
Single object tracking aims to locate the target object in a video sequence according to the
state specified by different modal references, including the initial bounding box (BBOX) …
state specified by different modal references, including the initial bounding box (BBOX) …
NT-VOT211: A Large-Scale Benchmark for Night-time Visual Object Tracking
Many current tracking benchmarks, such as OTB100, Nfs, UAV123, LaSOT, and GOT-10K,
are approaching saturation ie, they are approaching their maximum score capacity. As such …
are approaching saturation ie, they are approaching their maximum score capacity. As such …
LVOS: A Benchmark for Large-scale Long-term Video Object Segmentation
Video object segmentation (VOS) aims to distinguish and track target objects in a video.
Despite the excellent performance achieved by off-the-shell VOS models, existing VOS …
Despite the excellent performance achieved by off-the-shell VOS models, existing VOS …
ASAFormer: Visual tracking with convolutional vision transformer and asymmetric selective attention
X Gong, Y Zhang, S Hu - Knowledge-Based Systems, 2024 - Elsevier
Abstract Recently, Vision Transformer (ViT) has exhibited remarkable performances in many
computer vision tasks (eg object detection, segmentation and tracking). However, the output …
computer vision tasks (eg object detection, segmentation and tracking). However, the output …
Discriminative target predictor based on temporal-scene attention context enhancement and candidate matching mechanism
B Cao, X Wu, X Zhang, Y Wang, Z Ma - Expert Systems with Applications, 2024 - Elsevier
Visual tracking is a fundamental task in computer vision, which extracts the target context
descriptions and features from the first image frame and tracks the target in subsequent …
descriptions and features from the first image frame and tracks the target in subsequent …
Beyond SOT: Tracking Multiple Generic Objects at Once
Abstract Generic Object Tracking (GOT) is the problem of tracking target objects, specified by
bounding boxes in the first frame of a video. While the task has received much attention in …
bounding boxes in the first frame of a video. While the task has received much attention in …
[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 …