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Found 3 papers, 2 papers with code
Transformer-based stereo-aware 3D object detection from binocular images
In this paper, we explore the model design of Transformers in binocular 3D object detection, focusing particularly on extracting and encoding the task-specific image correspondence information.
Deep Intra-Image Contrastive Learning for Weakly Supervised One-Step Person Search
We hope that our simple intra-image contrastive learning can provide more paradigms on weakly supervised person search.
TJU-DHD: A Diverse High-Resolution Dataset for Object Detection
In addition, a new diverse pedestrian dataset is further built.
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