An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition
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Updated
Jul 1, 2023 - Python
An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition
Official code for NeurRIPS 2020 paper "Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D"
[IROS 2017] Code for the paper "Metric Learning for Generalizing Spatial Relations to New Objects"
The project aims to enhance fine-grained visual recognition accuracy. Integrate Hierarchical Bilinear Pooling (HBP) with ResNet architecture. Leverage ResNet's capabilities and pre-trained parameters. Provide accessibility to the codebase for broader research and adaptation.
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