Semantic Segmentation
The idea of semantic segmentation is to recognize and understand what is in an image at the pixel-level.
State-of-the-art leaderboards
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Subtasks
Latest papers without code
Human vs Machine Attention in Neural Networks: A Comparative Study
Inspired by the selective attention in the visual cortex, artificial attention is designed to focus a neural network on the most task-relevant input signal.
FINE-GRAINED IMAGE CLASSIFICATION SEMANTIC SEGMENTATION ZERO-SHOT ACTION RECOGNITION
3D Instance Segmentation via Multi-task Metric Learning
The second goal is to learn instance information by estimating directional information of the instances' centers of mass densely for each voxel.
3D INSTANCE SEGMENTATION 3D RECONSTRUCTION METRIC LEARNING MULTI-TASK LEARNING SEMANTIC SEGMENTATION
PointNLM: Point Nonlocal-Means for vegetation segmentation based on middle echo point clouds
Second, to accurately extract trees from all point clouds, we propose a 3D deep learning network, PointNLM, to semantically segment tree crowns.
Automated crater shape retrieval using weakly-supervised deep learning
Manual validation of a subset of these craters indicates that a majority of them are real, which we take as an indicator of the strength of our model in learning to identify craters, despite incomplete training data.
Learning to Reconstruct and Understand Indoor Scenes from Sparse Views
This paper proposes a new method for simultaneous 3D reconstruction and semantic segmentation of indoor scenes.
Active Scene Understanding via Online Semantic Reconstruction
In our method, the exploratory robot scanning is both driven by and targeting at the recognition and segmentation of semantic objects from the scene.
A sparse annotation strategy based on attention-guided active learning for 3D medical image segmentation
3D image segmentation is one of the most important and ubiquitous problems in medical image processing.
ACTIVE LEARNING MEDICAL IMAGE SEGMENTATION SEMANTIC SEGMENTATION
Key Instance Selection for Unsupervised Video Object Segmentation
After M-th frame, we select K IDs based on video saliency and frequency of appearance; then only these key IDs are tracked through the remaining frames.
SEMANTIC SEGMENTATION UNSUPERVISED VIDEO OBJECT SEGMENTATION VIDEO SEMANTIC SEGMENTATION
SEN12MS -- A Curated Dataset of Georeferenced Multi-Spectral Sentinel-1/2 Imagery for Deep Learning and Data Fusion
The availability of curated large-scale training data is a crucial factor for the development of well-generalizing deep learning methods for the extraction of geoinformation from multi-sensor remote sensing imagery.
The Attack Generator: A Systematic Approach Towards Constructing Adversarial Attacks
We call this the "attack generator".
ADVERSARIAL ATTACK AUTONOMOUS DRIVING OBJECT DETECTION SEMANTIC SEGMENTATION