
BshapeNet: Object Detection and Instance Segmentation with Bounding
Shape Masks
Papers citing "BshapeNet: Object Detection and Instance Segmentation with Bounding Shape Masks"
15 / 15 papers shown
Title |
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![]() Few-shot Shape Recognition by Learning Deep Shape-aware FeaturesIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 |
![]() PatchDCT: Patch Refinement for High Quality Instance SegmentationInternational Conference on Learning Representations (ICLR), 2023 |
![]() YOLO2U-Net: Detection-Guided 3D Instance Segmentation for MicroscopyPattern Recognition Letters (PRL), 2022 |
![]() Contour Loss for Instance Segmentation via k-step Distance
Transformation ImageIET Computer Vision (ICV), 2021 |
![]() DCT-Mask: Discrete Cosine Transform Mask Representation for Instance
SegmentationComputer Vision and Pattern Recognition (CVPR), 2020 |
![]() LevelSet R-CNN: A Deep Variational Method for Instance SegmentationEuropean Conference on Computer Vision (ECCV), 2020 |
![]() Boundary-preserving Mask R-CNNEuropean Conference on Computer Vision (ECCV), 2020 |
![]() EfficientPS: Efficient Panoptic SegmentationInternational Journal of Computer Vision (IJCV), 2020 Rohit Mohan Abhinav Valada |















