Results 51 to 60 of about 2,071 (151)
A Domain Agnostic Normalization Layer for Unsupervised Adversarial Domain Adaptation
, 2018 We propose a normalization layer for unsupervised domain adaption in semantic scene segmentation. Normalization layers are known to improve convergence and generalization and are part of many state-of-the-art fully-convolutional neural networks.
Dubbelman, Gijs +2 more
core +1 more source
GFF: Gated Fully Fusion for Semantic Segmentation
, 2020 Semantic segmentation generates comprehensive understanding of scenes through densely predicting the category for each pixel. High-level features from Deep Convolutional Neural Networks already demonstrate their effectiveness in semantic segmentation ...
Han, Lei +5 more
core +1 more source
, 2019 We propose and study a task we name panoptic segmentation (PS). Panoptic segmentation unifies the typically distinct tasks of semantic segmentation (assign a class label to each pixel) and instance segmentation (detect and segment each object instance ...
Dollár, Piotr +4 more
core +1 more source
Dense Segmentation Techniques Using Deep Learning for Urban Scene Parsing: A Review
IEEE AccessDense segmentation tasks, including semantic, instance, and panoptic segmentation, are essential for improving our comprehension of urban landscapes. This paper examines various deep learning methodologies to enhance dense segmentation in urban scene ...
Rajesh Ankareddy +1 more
doaj +1 more source
TernausNetV2: Fully Convolutional Network for Instance Segmentation
, 2018 The most common approaches to instance segmentation are complex and use two-stage networks with object proposals, conditional random-fields, template matching or recurrent neural networks.
Buslaev, Alexander V. +3 more
core +1 more source
Mapillary based plant distributions of ethnobotanical afforestation.
, 2019 Abstract:Mapillary is an open-source code base for the use of GPU based Deep Learning for Semantic Segmentation of wild images. We propose the creation of an autonomous drone for the automated capture of scientific images of medicinal and edible plants to create geotagged maps of plants on Mapillary.com with additional tags on plant sizes, species, and
openaire +7 more sources
IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.A real‐time embedded perception pipeline tailored for ITS and AVs, with a focus on soft deadline adherence and timing‐aware deployment. We deploy a post‐training quantized YOLOv8n model on an NVIDIA Jetson Orin Nano using a ROS 2‐based architecture and stereo input from a ZED 2i camera.
Saranya M, Archana N, Rishi Koushik G
wiley +1 more source
IEEE AccessGeneralizing to unseen scenes presents a significant challenge to semantic segmentation models, as it aims to replicate the human adaptability. Existing deep learning models still suffer from performance degradation on unseen scenarios due to the domain ...
Noha Nekamiche +3 more
doaj +1 more source
A Cross-Season Correspondence Dataset for Robust Semantic Segmentation
, 2019 In this paper, we present a method to utilize 2D-2D point matches between images taken during different image conditions to train a convolutional neural network for semantic segmentation.
Hammarstrand, Lars +5 more
core +1 more source
Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation
, 2020 Today's success of state of the art methods for semantic segmentation is driven by large datasets. Data is considered an important asset that needs to be protected, as the collection and annotation of such datasets comes at significant efforts and ...
Fritz, M. +3 more
core +2 more sources