Scene Segmentation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

6 leaderboard tables shown for this task, 6 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

10 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 141 papers with code (283 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
  2 Dec 2016 110 repositories listed Syntology ran 89 of 164 samples · 75 unverified · 90 pointer-only (licence)
  Point cloud is an important type of geometric data structure.
• SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
  2 Nov 2015 74 repositories listed Syntology ran 9 of 44 samples · 35 unverified · 10 pointer-only (licence)
  We show that SegNet provides good performance with competitive inference time and more efficient inference memory-wise as compared to other architectures.
• Fully Convolutional Networks for Semantic Segmentation
  20 May 2016 37 repositories listed
  Convolutional networks are powerful visual models that yield hierarchies of features.
• Point Transformer
  16 Dec 2020 24 repositories listed
  For example, on the challenging S3DIS dataset for large-scale semantic scene segmentation, the Point Transformer attains an mIoU of 70.
• Dual Attention Network for Scene Segmentation
  9 Sep 2018 12 repositories listed Syntology ran 0 of 7 samples · 7 unverified · 5 pointer-only (licence)
  Specifically, we append two types of attention modules on top of traditional dilated FCN, which model the semantic interdependencies in spatial and channel dimensions respectively.
• KPConv: Flexible and Deformable Convolution for Point Clouds
  18 Apr 2019 10 repositories listed Syntology ran 5 of 12 samples · 7 unverified · 3 pointer-only (licence)
  Furthermore, these locations are continuous in space and can be learned by the network.
• Panoptic Segmentation
  3 Jan 2018 9 repositories listed
  We propose and study a task we name panoptic segmentation (PS).
• Index Network
  11 Aug 2019 6 repositories listed
  By viewing the indices as a function of the feature map, we introduce the concept of "learning to index", and present a novel index-guided encoder-decoder framework where indices are self-learned adaptively from data…
• Seamless Scene Segmentation
  3 May 2019 5 repositories listed Syntology ran 1 of 2 samples · 1 unverified
  In this work we introduce a novel, CNN-based architecture that can be trained end-to-end to deliver seamless scene segmentation results.
• A Local-to-Global Approach to Multi-modal Movie Scene Segmentation
  6 Apr 2020 4 repositories listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
  Scene, as the crucial unit of storytelling in movies, contains complex activities of actors and their interactions in a physical environment.
• Point-Voxel CNN for Efficient 3D Deep Learning
  8 Jul 2019 4 repositories listed Syntology ran 5 of 8 samples · 3 unverified · 5 pointer-only (licence)
  The computation cost and memory footprints of the voxel-based models grow cubically with the input resolution, making it memory-prohibitive to scale up the resolution.
• No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation
  5 Apr 2024 3 repositories listed Syntology ran 8 of 14 samples · 6 unverified · 6 pointer-only (licence)
  To reduce the reliance on large-scale datasets, recent works in 3D segmentation resort to few-shot learning.
• EPRNet: Efficient Pyramid Representation Network for Real-Time Street Scene Segmentation
  23 Mar 2021 3 repositories listed
  Current scene segmentation methods suffer from cumbersome model structures and high computational complexity, impeding their applications to real-world scenarios that require real-time processing.
• 2018 Robotic Scene Segmentation Challenge
  30 Jan 2020 3 repositories listed
  In 2015 we began a sub-challenge at the EndoVis workshop at MICCAI in Munich using endoscope images of ex-vivo tissue with automatically generated annotations from robot forward kinematics and instrument CAD models.
• A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images
  2 Dec 2016 3 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Colorectal cancer (CRC) is the third cause of cancer death worldwide.
• Transferring to Real-World Layouts: A Depth-aware Framework for Scene Adaptation
  21 Nov 2023 2 repositories listed
  Based on such observation, we propose a depth-aware framework to explicitly leverage depth estimation to mix the categories and facilitate the two complementary tasks, i.
• Double Domain Guided Real-Time Low-Light Image Enhancement for Ultra-High-Definition Transportation Surveillance
  15 Sep 2023 2 repositories listed
  Real-time transportation surveillance is an essential part of the intelligent transportation system (ITS).
• Neural Implicit Vision-Language Feature Fields
  20 Mar 2023 2 repositories listed
  In this work, we present a zero-shot volumetric open-vocabulary semantic scene segmentation method.
• Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation
  26 Nov 2022 2 repositories listed Syntology ran 3 of 10 samples · 7 unverified
  Semantic segmentation models classify pixels into a set of known (``in-distribution'') visual classes.
• Improving Nighttime Driving-Scene Segmentation via Dual Image-adaptive Learnable Filters
  4 Jul 2022 2 repositories listed
  With DIAL-Filters, we design both unsupervised and supervised frameworks for nighttime driving-scene segmentation, which can be trained in an end-to-end manner.
• Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need
  23 Jun 2022 2 repositories listed
  Our empirical analysis suggests that without the high cost of data collection and annotation, we can achieve decent surgical instrument segmentation performance.
• BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
  26 May 2022 2 repositories listed Syntology ran 3 of 10 samples · 7 unverified
  Multi-sensor fusion is essential for an accurate and reliable autonomous driving system.
• FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation
  4 Apr 2022 2 repositories listed
  Robust visual recognition under adverse weather conditions is of great importance in real-world applications.
• Mesh Convolution with Continuous Filters for 3D Surface Parsing
  3 Dec 2021 2 repositories listed
  In this paper, we propose a series of modular operations for effective geometric feature learning from 3D triangle meshes.
• CondNet: Conditional Classifier for Scene Segmentation
  21 Sep 2021 2 repositories listed
  The last layer of FCN is typically a global classifier (1x1 convolution) to recognize each pixel to a semantic label.
• Adaptive Boosting for Domain Adaptation: Towards Robust Predictions in Scene Segmentation
  29 Mar 2021 2 repositories listed
  Domain adaptation is to transfer the shared knowledge learned from the source domain to a new environment, i.
• RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening
  29 Mar 2021 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  Enhancing the generalization capability of deep neural networks to unseen domains is crucial for safety-critical applications in the real world such as autonomous driving.
• Learning and Reasoning with the Graph Structure Representation in Robotic Surgery
  7 Jul 2020 2 repositories listed Syntology ran 1 of 8 samples · 7 unverified · 8 pointer-only (licence)
  Learning to infer graph representations and performing spatial reasoning in a complex surgical environment can play a vital role in surgical scene understanding in robotic surgery.
• Context Prior for Scene Segmentation
  3 Apr 2020 2 repositories listed
  Given an input image and corresponding ground truth, Affinity Loss constructs an ideal affinity map to supervise the learning of Context Prior.
• End-to-end Learning of Driving Models from Large-scale Video Datasets
  4 Dec 2016 2 repositories listed
  Robust perception-action models should be learned from training data with diverse visual appearances and realistic behaviors, yet current approaches to deep visuomotor policy learning have been generally limited to…

Syntology lines on 13 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.