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Domain generalization: A survey
K Zhou, Z Liu, Y Qiao, T ** future human-centered smart cities: Critical analysis of smart city security, Data management, and Ethical challenges
As the globally increasing population drives rapid urbanization in various parts of the world,
there is a great need to deliberate on the future of the cities worth living. In particular, as …
there is a great need to deliberate on the future of the cities worth living. In particular, as …
Humans in 4D: Reconstructing and tracking humans with transformers
We present an approach to reconstruct humans and track them over time. At the core of our
approach, we propose a fully" transformerized" version of a network for human mesh …
approach, we propose a fully" transformerized" version of a network for human mesh …
Bot-sort: Robust associations multi-pedestrian tracking
N Aharon, R Orfaig, BZ Bobrovsky - ar** a unique identifier for each object. In this paper, we present a new robust …
SLEAP: A deep learning system for multi-animal pose tracking
The desire to understand how the brain generates and patterns behavior has driven rapid
methodological innovation in tools to quantify natural animal behavior. While advances in …
methodological innovation in tools to quantify natural animal behavior. While advances in …
Strongsort: Make deepsort great again
Y Du, Z Zhao, Y Song, Y Zhao, F Su… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Recently, Multi-Object Tracking (MOT) has attracted rising attention, and accordingly,
remarkable progresses have been achieved. However, the existing methods tend to use …
remarkable progresses have been achieved. However, the existing methods tend to use …
Motrv2: Bootstrap** end-to-end multi-object tracking by pretrained object detectors
In this paper, we propose MOTRv2, a simple yet effective pipeline to bootstrap end-to-end
multi-object tracking with a pretrained object detector. Existing end-to-end methods, eg …
multi-object tracking with a pretrained object detector. Existing end-to-end methods, eg …
Motiontrack: Learning robust short-term and long-term motions for multi-object tracking
The main challenge of Multi-Object Tracking (MOT) lies in maintaining a continuous
trajectory for each target. Existing methods often learn reliable motion patterns to match the …
trajectory for each target. Existing methods often learn reliable motion patterns to match the …
Bytetrack: Multi-object tracking by associating every detection box
Multi-object tracking (MOT) aims at estimating bounding boxes and identities of objects in
videos. Most methods obtain identities by associating detection boxes whose scores are …
videos. Most methods obtain identities by associating detection boxes whose scores are …
Part-based pseudo label refinement for unsupervised person re-identification
Unsupervised person re-identification (re-ID) aims at learning discriminative representations
for person retrieval from unlabeled data. Recent techniques accomplish this task by using …
for person retrieval from unlabeled data. Recent techniques accomplish this task by using …