Results 41 to 50 of about 345,447 (283)
Attention-Guided Instance Segmentation for Group-Raised Pigs
In the pig farming environment, complex factors such as pig adhesion, occlusion, and changes in body posture pose significant challenges for segmenting multiple target pigs.
Zhiwei Hu, Hua Yang, Hongwen Yan
doaj +1 more source
Instance Segmentation of LiDAR Point Clouds [PDF]
We propose a robust baseline method for instance segmentation which are specially designed for large-scale outdoor LiDAR point clouds. Our method includes a novel dense feature encoding technique, allowing the localization and segmentation of small, far-away objects, a simple but effective solution for single-shot instance prediction and effective ...
Zhang, F +6 more
openaire +1 more source
DIM: long-tailed object detection and instance segmentation via dynamic instance memory
Object detection and instance segmentation have been successful on benchmarks with relatively balanced category distribution (e.g. MSCOCO). However, state-of-the-art object detection and segmentation methods still struggle to generalize on long-tailed ...
Zhao-Min Chen +7 more
doaj +1 more source
Distance to Center of Mass Encoding for Instance Segmentation
The instance segmentation can be considered an extension of the object detection problem where bounding boxes are replaced by object contours. Strictly speaking the problem requires to identify each pixel instance and class independently of the artifice ...
Watanabe, Thomio, Wolf, Denis
core +1 more source
S4Net: Single Stage Salient-Instance Segmentation
We consider an interesting problem-salient instance segmentation in this paper. Other than producing bounding boxes, our network also outputs high-quality instance-level segments.
Cheng, Ming-Ming +5 more
core +1 more source
OccuSeg: Occupancy-Aware 3D Instance Segmentation [PDF]
CVPR 2020, video this https URL https://youtu.be ...
Han, Lei, Zheng, Tian, Xu, Lan, Fang, Lu
openaire +2 more sources
HTC+ for SAR Ship Instance Segmentation
Existing instance segmentation models mostly pay less attention to the targeted characteristics of ships in synthetic aperture radar (SAR) images, which hinders further accuracy improvements, leading to poor segmentation performance in more complex SAR ...
Tianwen Zhang, Xiaoling Zhang
doaj +1 more source
Pseudo Mask Augmented Object Detection
In this work, we present a novel and effective framework to facilitate object detection with the instance-level segmentation information that is only supervised by bounding box annotation.
Liang, Shuang +2 more
core +1 more source
Predicting Future Instance Segmentation by Forecasting Convolutional Features [PDF]
Anticipating future events is an important prerequisite towards intelligent behavior. Video forecasting has been studied as a proxy task towards this goal.
A Yang +7 more
core +4 more sources
Pointly-Supervised Instance Segmentation
We propose an embarrassingly simple point annotation scheme to collect weak supervision for instance segmentation. In addition to bounding boxes, we collect binary labels for a set of points uniformly sampled inside each bounding box. We show that the existing instance segmentation models developed for full mask supervision can be seamlessly trained ...
Cheng, Bowen +2 more
openaire +2 more sources

