3D object detection for autonomous driving: A comprehensive survey
Autonomous driving, in recent years, has been receiving increasing attention for its potential
to relieve drivers' burdens and improve the safety of driving. In modern autonomous driving …
to relieve drivers' burdens and improve the safety of driving. In modern autonomous driving …
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 …
Prototypical contrast adaptation for domain adaptive semantic segmentation
Abstract Unsupervised Domain Adaptation (UDA) aims to adapt the model trained on the
labeled source domain to an unlabeled target domain. In this paper, we present Prototypical …
labeled source domain to an unlabeled target domain. In this paper, we present Prototypical …
Instance-aware domain generalization for face anti-spoofing
Face anti-spoofing (FAS) based on domain generalization (DG) has been recently studied to
improve the generalization on unseen scenarios. Previous methods typically rely on domain …
improve the generalization on unseen scenarios. Previous methods typically rely on domain …
Bending reality: Distortion-aware transformers for adapting to panoramic semantic segmentation
Panoramic images with their 360deg directional view encompass exhaustive information
about the surrounding space, providing a rich foundation for scene understanding. To unfold …
about the surrounding space, providing a rich foundation for scene understanding. To unfold …
Generative domain adaptation for face anti-spoofing
Face anti-spoofing (FAS) approaches based on unsupervised domain adaption (UDA) have
drawn growing attention due to promising performances for target scenarios. Most existing …
drawn growing attention due to promising performances for target scenarios. Most existing …
Context-aware mixup for domain adaptive semantic segmentation
Unsupervised domain adaptation (UDA) aims to adapt a model of the labeled source
domain to an unlabeled target domain. Existing UDA-based semantic segmentation …
domain to an unlabeled target domain. Existing UDA-based semantic segmentation …
Both style and distortion matter: Dual-path unsupervised domain adaptation for panoramic semantic segmentation
The ability of scene understanding has sparked active research for panoramic image
semantic segmentation. However, the performance is hampered by distortion of the …
semantic segmentation. However, the performance is hampered by distortion of the …
Look at the neighbor: Distortion-aware unsupervised domain adaptation for panoramic semantic segmentation
Endeavors have been recently made to transfer knowledge from the labeled pinhole image
domain to the unlabeled panoramic image domain via Unsupervised Domain Adaptation …
domain to the unlabeled panoramic image domain via Unsupervised Domain Adaptation …
Revisiting domain-adaptive 3D object detection by reliable, diverse and class-balanced pseudo-labeling
Unsupervised domain adaptation (DA) with the aid of pseudo labeling techniques has
emerged as a crucial approach for domain-adaptive 3D object detection. While effective …
emerged as a crucial approach for domain-adaptive 3D object detection. While effective …