Search Results for author:
Found 8 papers, 6 papers with code
Attention-Guided Lidar Segmentation and Odometry Using Image-to-Point Cloud Saliency Transfer
To address these challenges, we propose a saliency-guided approach that leverages attention information to improve the performance of LiDAR odometry estimation and semantic segmentation models.
TransFusionOdom: Interpretable Transformer-based LiDAR-Inertial Fusion Odometry Estimation
A synthetic multi-modal dataset is made public to validate the generalization ability of the proposed fusion strategy, which also works for other combinations of different modalities.
SalFBNet: Learning Pseudo-Saliency Distribution via Feedback Convolutional Networks
We first use the proposed feedback model to learn saliency distribution from pseudo-ground-truth.
Anomaly Detection in Video Sequences: A Benchmark and Computational Model
2) It provides the annotation data, including video-level labels (abnormal/normal video, anomaly type) and frame-level labels (abnormal/normal video frame) to facilitate anomaly detection.
Salient object detection on hyperspectral images using features learned from unsupervised segmentation task
Various saliency detection algorithms from color images have been proposed to mimic eye fixation or attentive object detection response of human observers for the same scenes.
Robustness Analysis of Pedestrian Detectors for Surveillance
In this study, we conduct the research on the robustness of pedestrian detection algorithms to video quality degradation.
Video Saliency Detection by 3D Convolutional Neural Networks
Different from salient object detection methods for still images, a key challenging for video saliency detection is how to extract and combine spatial and temporal features.
Hyperspectral Image Dataset for Benchmarking on Salient Object Detection
Many works have been done on salient object detection using supervised or unsupervised approaches on colour images.
