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Found 7 papers, 4 papers with code
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.
