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Found 4 papers, 1 papers with code
Object Preserving Siamese Network for Single Object Tracking on Point Clouds
Exploring an approach that seeks to maximize the preservation of object points and their object-aware features is of particular significance.
DRPN: Making CNN Dynamically Handle Scale Variation
In this paper, we propose a dynamic re-parameterization network (DRPN) to deal with the scale variation and balance the detection precision between small targets and large targets in infrared datasets.
Dynamic Fusion Network for RGBT Tracking
The key points of RGBT tracking lie in feature extraction and feature fusion of visible and infrared images.
Ranked #8 on
Rgb-T Tracking
on GTOT
Attention-based Context Aggregation Network for Monocular Depth Estimation
Second, the proposed ACAN aggregates both the image-level and pixel-level context information for depth estimation, where the former expresses the statistical characteristic of the whole image and the latter extracts the long-range spatial dependencies for each pixel.
Ranked #51 on
Monocular Depth Estimation
on NYU-Depth V2
