[HTML][HTML] Terrain detection and segmentation for autonomous vehicle navigation: A state-of-the-art systematic review
This review comprehensively investigates the current state and emerging trends of
autonomous vehicle terrain detection and segmentation. By systematically reviewing …
autonomous vehicle terrain detection and segmentation. By systematically reviewing …
Transformers and language models in form understanding: A comprehensive review of scanned document analysis
This paper presents a comprehensive survey of research works on the topic of form
understanding in the context of scanned documents. We delve into recent advancements …
understanding in the context of scanned documents. We delve into recent advancements …
Content-aware token sharing for efficient semantic segmentation with vision transformers
This paper introduces Content-aware Token Sharing (CTS), a token reduction approach that
improves the computational efficiency of semantic segmentation networks that use Vision …
improves the computational efficiency of semantic segmentation networks that use Vision …
UTLNet: Uncertainty-aware transformer localization network for RGB-depth mirror segmentation
Mirror segmentation, an emerging discipline in the field of computer vision, involves the
identification and marking of mirrors in an image. Current mirror segmentation methods rely …
identification and marking of mirrors in an image. Current mirror segmentation methods rely …
SegTransConv: Transformer and CNN hybrid method for real-time semantic segmentation of autonomous vehicles
Real-time and high-performance semantic segmentation is a crucial task in the scene
understanding of autonomous vehicles. This paper focuses on this issue and proposes a …
understanding of autonomous vehicles. This paper focuses on this issue and proposes a …
Block attention network: a lightweight deep network for real-time semantic segmentation of road scenes in resource-constrained devices
Deep-learning-based semantic segmentation networks typically incorporate object
classification networks in their backbone. This leads to a loss of context because …
classification networks in their backbone. This leads to a loss of context because …
Study of convolutional neural network-based semantic segmentation methods on edge intelligence devices for field agricultural robot navigation line extraction
J Yu, J Zhang, A Shu, Y Chen, J Chen, Y Yang… - … and Electronics in …, 2023 - Elsevier
Smart agricultural machinery is emerging as the future trend for field robots, and the fully
automatic robot has a great application prospect. However, it is a big challenge for robots to …
automatic robot has a great application prospect. However, it is a big challenge for robots to …
Centering the value of every modality: Towards efficient and resilient modality-agnostic semantic segmentation
Fusing an arbitrary number of modalities is vital for achieving robust multi-modal fusion of
semantic segmentation yet remains less explored to date. Recent endeavors regard RGB …
semantic segmentation yet remains less explored to date. Recent endeavors regard RGB …
Centerformer: a novel cluster center enhanced transformer for unconstrained dental plaque segmentation
Dental plaque segmentation is crucial for maintaining oral health. However, accurately
segmenting dental plaque in unconstrained environments can be challenging due to its low …
segmenting dental plaque in unconstrained environments can be challenging due to its low …
Mask-FPAN: semi-supervised face parsing in the wild with de-occlusion and UV GAN
The field of fine-grained semantic segmentation for a person's face and head, which
includes identifying facial parts and head components, has made significant progress in …
includes identifying facial parts and head components, has made significant progress in …