MUVA: A New Large-Scale Benchmark for Multi-view Amodal Instance Segmentation in the Shopping Scenario
Author:
Affiliation:
1. Peking University,National Engineering Research Center of Visual Technology, National Key Laboratory for Multimedia Information Processing, School of Computer Science,Beijing,China,100871
2. AiFi Inc.,California,United States,94010
Funder
Qualcomm
Peking University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10376473/10376477/10376771.pdf?arnumber=10376771
Reference40 articles.
1. Unseen Object Amodal Instance Segmentation via Hierarchical Occlusion Modeling
2. End-to-End Object Detection with Transformers
3. Masked-attention Mask Transformer for Universal Image Segmentation
4. ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes
5. CenterNet: Keypoint Triplets for Object Detection
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