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Found 8 papers, 4 papers with code
Radiance Field Learners As UAV First-Person Viewers
First-Person-View (FPV) holds immense potential for revolutionizing the trajectory of Unmanned Aerial Vehicles (UAVs), offering an exhilarating avenue for navigating complex building structures.
Solve the Puzzle of Instance Segmentation in Videos: A Weakly Supervised Framework with Spatio-Temporal Collaboration
Instance segmentation in videos, which aims to segment and track multiple objects in video frames, has garnered a flurry of research attention in recent years.
GL-RG: Global-Local Representation Granularity for Video Captioning
Video captioning is a challenging task as it needs to accurately transform visual understanding into natural language description.
TF-Blender: Temporal Feature Blender for Video Object Detection
One of the popular solutions is to exploit the temporal information and enhance per-frame representation through aggregating features from neighboring frames.
Hierarchical Attention Fusion for Geo-Localization
We extract the hierarchical feature maps from a convolutional neural network (CNN) and organically fuse the extracted features for image representations.
DenserNet: Weakly Supervised Visual Localization Using Multi-scale Feature Aggregation
In this work, we introduce a Denser Feature Network (DenserNet) for visual localization.
Multimodal Aggregation Approach for Memory Vision-Voice Indoor Navigation with Meta-Learning
Memory is important for the agent to avoid repeating certain tasks unnecessarily and in order for it to adapt adequately to new scenes, therefore, we make use of meta-learning.
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Visual Navigation
on AI2-THOR
Crowd Video Captioning
Since the deployment of reporters in the entrance and exit costs lots of manpower, how to automatically describe the behavior of a crowd of off-site spectators is significant and remains a problem.
