DHNet with patch alignment and dual hypergraph fusion reaches SOTA RGBT video object detection on VT-VOD50 and the new large-scale DVT-VOD1000 benchmark.
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An objectness-aware teacher-student framework transfers motion prediction knowledge from synthetic 4D LiDAR data to unlabeled real data, using centroid-offset priors to filter and smooth noisy pseudo-labels.
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Dual-Correlation Hypergraph Network for Unaligned RGBT Video Object Detection and A Large-scale Benchmark
DHNet with patch alignment and dual hypergraph fusion reaches SOTA RGBT video object detection on VT-VOD50 and the new large-scale DVT-VOD1000 benchmark.
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Synthetic-to-Real Translation for Class-Agnostic Motion Prediction
An objectness-aware teacher-student framework transfers motion prediction knowledge from synthetic 4D LiDAR data to unlabeled real data, using centroid-offset priors to filter and smooth noisy pseudo-labels.