Unsupervised domain adaptation for semantic image segmentation: a comprehensive survey
Semantic segmentation plays a fundamental role in a broad variety of computer vision
applications, providing key information for the global understanding of an image. Yet, the …
applications, providing key information for the global understanding of an image. Yet, the …
Semantic image segmentation: Two decades of research
Semantic image segmentation (SiS) plays a fundamental role in a broad variety of computer
vision applications, providing key information for the global understanding of an image. This …
vision applications, providing key information for the global understanding of an image. This …
Patch-netvlad: Multi-scale fusion of locally-global descriptors for place recognition
Abstract Visual Place Recognition is a challenging task for robotics and autonomous
systems, which must deal with the twin problems of appearance and viewpoint change in an …
systems, which must deal with the twin problems of appearance and viewpoint change in an …
The revisiting problem in simultaneous localization and mapping: A survey on visual loop closure detection
KA Tsintotas, L Bampis… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Where am I? This is one of the most critical questions that any intelligent system should
answer to decide whether it navigates to a previously visited area. This problem has long …
answer to decide whether it navigates to a previously visited area. This problem has long …
Structured bird's-eye-view traffic scene understanding from onboard images
Autonomous navigation requires structured representation of the road network and instance-
wise identification of the other traffic agents. Since the traffic scene is defined on the ground …
wise identification of the other traffic agents. Since the traffic scene is defined on the ground …
Sayplan: Grounding large language models using 3d scene graphs for scalable task planning
Large language models (LLMs) have demonstrated impressive results in developing
generalist planning agents for diverse tasks. However, grounding these plans in expansive …
generalist planning agents for diverse tasks. However, grounding these plans in expansive …
[PDF][PDF] Where is your place, visual place recognition?
Abstract Visual Place Recognition (VPR) is often characterized as being able to recognize
the same place despite significant changes in appearance and viewpoint. VPR is a key …
the same place despite significant changes in appearance and viewpoint. VPR is a key …
[HTML][HTML] Vpr-bench: An open-source visual place recognition evaluation framework with quantifiable viewpoint and appearance change
Visual place recognition (VPR) is the process of recognising a previously visited place using
visual information, often under varying appearance conditions and viewpoint changes and …
visual information, often under varying appearance conditions and viewpoint changes and …
Seqnet: Learning descriptors for sequence-based hierarchical place recognition
Visual Place Recognition (VPR) is the task of matching current visual imagery from a camera
to images stored in a reference map of the environment. While initial VPR systems used …
to images stored in a reference map of the environment. While initial VPR systems used …
Multi-robot scene completion: Towards task-agnostic collaborative perception
Collaborative perception learns how to share information among multiple robots to perceive
the environment better than individually done. Past research on this has been task-specific …
the environment better than individually done. Past research on this has been task-specific …