Thermal Image Segmentation

Benchmarks archive 2025-07-28

7 leaderboard tables shown for this task, 7 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

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

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 70 papers with code (84 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.

• U-Net: Convolutional Networks for Biomedical Image Segmentation
  18 May 2015 487 repositories listed Syntology ran 510 of 757 samples · 247 unverified · 426 pointer-only (licence)
  There is large consent that successful training of deep networks requires many thousand annotated training samples.
• Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
  25 Mar 2021 80 repositories listed Syntology ran 108 of 207 samples · 99 unverified · 43 pointer-only (licence)
  This paper presents a new vision Transformer, called Swin Transformer, that capably serves as a general-purpose backbone for computer vision.
• Rethinking Atrous Convolution for Semantic Image Segmentation
  17 Jun 2017 77 repositories listed Syntology ran 3 of 7 samples · 4 unverified · 3 pointer-only (licence)
  To handle the problem of segmenting objects at multiple scales, we design modules which employ atrous convolution in cascade or in parallel to capture multi-scale context by adopting multiple atrous rates.
• 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.
• Pyramid Scene Parsing Network
  4 Dec 2016 67 repositories listed Syntology ran 7 of 29 samples · 22 unverified · 5 pointer-only (licence)
  Scene parsing is challenging for unrestricted open vocabulary and diverse scenes.
• Fully Convolutional Networks for Semantic Segmentation
  14 Nov 2014 51 repositories listed Syntology ran 3 of 4 samples · 1 unverified · 4 pointer-only (licence)
  Convolutional networks are powerful visual models that yield hierarchies of features.
• Deep High-Resolution Representation Learning for Visual Recognition
  20 Aug 2019 42 repositories listed Syntology ran 3 of 34 samples · 31 unverified · 16 pointer-only (licence)
  High-resolution representations are essential for position-sensitive vision problems, such as human pose estimation, semantic segmentation, and object detection.
• UNet++: A Nested U-Net Architecture for Medical Image Segmentation
  18 Jul 2018 34 repositories listed Syntology ran 5 of 28 samples · 23 unverified · 2 pointer-only (licence)
  Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet
• SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
  31 May 2021 28 repositories listed Syntology ran 48 of 86 samples · 38 unverified · 15 pointer-only (licence)
  We present SegFormer, a simple, efficient yet powerful semantic segmentation framework which unifies Transformers with lightweight multilayer perception (MLP) decoders.
• Fast-SCNN: Fast Semantic Segmentation Network
  12 Feb 2019 24 repositories listed Syntology ran 0 of 32 samples · 32 unverified
  The encoder-decoder framework is state-of-the-art for offline semantic image segmentation.
• BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation
  2 Aug 2018 21 repositories listed Syntology ran 6 of 18 samples · 12 unverified · 1 pointer-only (licence)
  Semantic segmentation requires both rich spatial information and sizeable receptive field.
• ICNet for Real-Time Semantic Segmentation on High-Resolution Images
  27 Apr 2017 18 repositories listed
  We focus on the challenging task of real-time semantic segmentation in this paper.
• LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation
  14 Jun 2017 14 repositories listed Syntology ran 3 of 4 samples · 1 unverified · 2 pointer-only (licence)
  As a result they are huge in terms of parameters and number of operations; hence slow too.
• ERFNet: Efficient Residual Factorized ConvNet for Real-time Semantic Segmentation
  9 Oct 2017 13 repositories listed
  A comprehensive set of experiments on the publicly available Cityscapes dataset demonstrates that our system achieves an accuracy that is similar to the state of the art, while being orders of magnitude faster to…
• Panoptic Feature Pyramid Networks
  8 Jan 2019 12 repositories listed Syntology ran 7 of 12 samples · 5 unverified
  In this work, we perform a detailed study of this minimally extended version of Mask R-CNN with FPN, which we refer to as Panoptic FPN, and show it is a robust and accurate baseline for both tasks.
• 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.
• Context Encoding for Semantic Segmentation
  23 Mar 2018 12 repositories listed Syntology ran 1 of 8 samples · 7 unverified · 7 pointer-only (licence)
  In this paper, we explore the impact of global contextual information in semantic segmentation by introducing the Context Encoding Module, which captures the semantic context of scenes and selectively highlights…
• Segmenter: Transformer for Semantic Segmentation
  12 May 2021 8 repositories listed Syntology ran 0 of 7 samples · 7 unverified
  In this paper we introduce Segmenter, a transformer model for semantic segmentation.
• Understanding Convolution for Semantic Segmentation
  27 Feb 2017 5 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  This framework 1) effectively enlarges the receptive fields (RF) of the network to aggregate global information; 2) alleviates what we call the "gridding issue" caused by the standard dilated convolution operation.
• Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis
  13 Nov 2020 4 repositories listed
  In this paper, we propose an efficient and robust RGB-D segmentation approach that can be optimized to a high degree using NVIDIA TensorRT and, thus, is well suited as a common initial processing step in a complex…
• CCNet: Criss-Cross Attention for Semantic Segmentation
  28 Nov 2018 4 repositories listed Syntology ran 9 of 14 samples · 5 unverified
  Compared with the non-local block, the proposed recurrent criss-cross attention module requires 11x less GPU memory usage.
• Depth-aware CNN for RGB-D Segmentation
  19 Mar 2018 4 repositories listed Syntology ran 1 of 11 samples · 10 unverified
  Convolutional neural networks (CNN) are limited by the lack of capability to handle geometric information due to the fixed grid kernel structure.
• Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes
  24 Nov 2016 4 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Therefore, additional processing steps have to be performed in order to obtain pixel-accurate segmentation masks at the full image resolution.
• PAIF: Perception-Aware Infrared-Visible Image Fusion for Attack-Tolerant Semantic Segmentation
  8 Aug 2023 3 repositories listed Syntology ran 13 of 27 samples · 14 unverified · 11 pointer-only (licence)
  We first conduct systematic analyses about the components of image fusion, investigating the correlation with segmentation robustness under adversarial perturbations.
• Specificity-preserving RGB-D Saliency Detection
  18 Aug 2021 3 repositories listed Syntology ran 8 of 14 samples · 6 unverified · 14 pointer-only (licence)
  To effectively fuse cross-modal features in the shared learning network, we propose a cross-enhanced integration module (CIM) and then propagate the fused feature to the next layer for integrating cross-level…
• Learning a Discriminative Feature Network for Semantic Segmentation
  25 Apr 2018 3 repositories listed Syntology ran 0 of 8 samples · 8 unverified
  Most existing methods of semantic segmentation still suffer from two aspects of challenges: intra-class inconsistency and inter-class indistinction.
• Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation
  4 Aug 2023 2 repositories listed Syntology ran 19 of 26 samples · 7 unverified · 13 pointer-only (licence)
  Multi-modality image fusion and segmentation play a vital role in autonomous driving and robotic operation.
• Visual Saliency Transformer
  25 Apr 2021 2 repositories listed Syntology ran 7 of 11 samples · 4 unverified · 11 pointer-only (licence)
  We also develop a token-based multi-task decoder to simultaneously perform saliency and boundary detection by introducing task-related tokens and a novel patch-task-attention mechanism.
• Accurate RGB-D Salient Object Detection via Collaborative Learning
  23 Jul 2020 2 repositories listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
  The explicitly extracted edge information goes together with saliency to give more emphasis to the salient regions and object boundaries.
• Bi-directional Cross-Modality Feature Propagation with Separation-and-Aggregation Gate for RGB-D Semantic Segmentation
  17 Jul 2020 2 repositories listed
  Depth information has proven to be a useful cue in the semantic segmentation of RGB-D images for providing a geometric counterpart to the RGB representation.

Syntology lines on 26 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.