AIRA-DA: Adversarial Image Reconstruction Alignments for Unsupervised Domain Adaptive Object Detection
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2023.3267692
Abstract: Unsupervised domain adaptive object detection is a challenging perception task where object detectors are adapted from a label-rich source domain to an unlabeled target domain, playing a vital role in autonomous driving and robot navigation.… read more here.
Keywords: domain adaptive; feature; unsupervised domain; domain ... See more keywords
Exploring Implicit Domain-Invariant Features for Domain Adaptive Object Detection
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3216611
Abstract: Recent researches have made a great progress in domain adaptive object detectors. These detectors aim to learn explicit domain-invariant features by adversarially mitigating domain divergence and simultaneously optimizing source risks. However, an inherent problem is… read more here.
Keywords: domain adaptive; domain; implicit domain; domain invariant ... See more keywords
FADA: Feature Aligned Domain Adaptive Object Detection in Remote Sensing Imagery
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3147224
Abstract: Deep learning-based object detectors have been widely adopted in the field of remote sensing imagery interpretation. These detectors heavily depend on the expensive large-scale labeled datasets, while the scarce remote sensing datasets limit the performance.… read more here.
Keywords: remote sensing; domain adaptive; feature; object detection ... See more keywords
Relation Matters: Foreground-Aware Graph-Based Relational Reasoning for Domain Adaptive Object Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2022.3179445
Abstract: Domain Adaptive Object Detection (DAOD) focuses on improving the generalization ability of object detectors via knowledge transfer. Recent advances in DAOD strive to change the emphasis of the adaptation process from global to local in… read more here.
Keywords: domain adaptive; alignment; domain; graph ... See more keywords
A scale-adaptive object-tracking algorithm with occlusion detection
Sign Up to like & getrecommendations! Published in 2020 at "EURASIP Journal on Image and Video Processing"
DOI: 10.1186/s13640-020-0496-6
Abstract: The methods combining correlation filters (CFs) with the features of convolutional neural network (CNN) are good at object tracking. However, the high-level features of a typical CNN without residual structure suffer from the shortage of… read more here.
Keywords: scale adaptive; occlusion detection; object tracking; adaptive object ... See more keywords