Papers › JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds

JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds

14 Jul 2020ECCV 2020 8arXiv:2007.06888archive 2025-07-28

Zeyu Hu, Mingmin Zhen, Xuyang Bai, Hongbo Fu, Chiew-Lan Tai

Semantic segmentation and semantic edge detection can be seen as two dual problems with close relationships in computer vision. Despite the fast evolution of learning-based 3D semantic segmentation methods, little attention has been drawn to the learning of 3D semantic edge detectors, even less to a joint learning method for the two tasks. In this paper, we tackle the 3D semantic edge detection task for the first time and present a new two-stream fully-convolutional network that jointly performs the two tasks. In particular, we design a joint refinement module that explicitly wires region information and edge information to improve the performances of both tasks. Further, we propose a novel loss function that encourages the network to produce semantic segmentation results with better boundaries. Extensive evaluations on S3DIS and ScanNet datasets show that our method achieves on par or better performance than the state-of-the-art methods for semantic segmentation and outperforms the baseline methods for semantic edge detection. Code release: https://github.com/hzykent/JSENet

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IoU_from_confusions hzykent/JSENet/JSENet_code/utils/metrics.py official repository unverified MIT (permissive) · d17cdcb847279eea · report
bias_variable hzykent/JSENet/JSENet_code/models/network_blocks.py official repository unverified MIT (permissive) · 6a88f1ae24fa26b2 · report
broadcast_matmul hzykent/JSENet/JSENet_code/kernels/convolution_ops.py official repository unverified MIT (permissive) · 2793f292a326cf88 · report
cylinder_mesh hzykent/JSENet/JSENet_code/utils/mesh.py official repository unverified MIT (permissive) · 331436bb7f42d917 · report
general_gaussian hzykent/JSENet/JSENet_code/kernels/convolution_ops.py official repository unverified MIT (permissive) · 7a2d8943181815ac · report
ind_max_pool hzykent/JSENet/JSENet_code/models/network_blocks.py official repository unverified MIT (permissive) · 4383ecd8cc0719fa · report
kernel_point_optimization_debug hzykent/JSENet/JSENet_code/kernels/kernel_points.py official repository unverified MIT (permissive) · 277002c8cf0a416e · report
metrics hzykent/JSENet/JSENet_code/utils/metrics.py official repository unverified MIT (permissive) · 5ffd29343f3e8e0d · report
radius_gaussian hzykent/JSENet/JSENet_code/kernels/convolution_ops.py official repository unverified MIT (permissive) · b211e6b58ff40f29 · report
rasterize_mesh hzykent/JSENet/JSENet_code/utils/mesh.py official repository unverified MIT (permissive) · ed30417628486a92 · report
smooth_metrics hzykent/JSENet/JSENet_code/utils/metrics.py official repository unverified MIT (permissive) · 9a05516350145ef4 · report
weight_variable hzykent/JSENet/JSENet_code/models/network_blocks.py official repository unverified MIT (permissive) · 5a6188c7d118c3fc · report

Tasks

3D Semantic SegmentationEdge DetectionSegmentationSemantic Segmentation

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Semantic Segmentation S3DIS JSENet Mean IoU 67.7 #31 of 54 Archive leaderboard report
Semantic Segmentation S3DIS JSENet Number of params N/A #31 of 54 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

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