mlsanityData to 7 Oct 2026

Ultra-High Resolution Segmentation with Ultra-Rich Context: A Novel Benchmark

arXiv 2305.10899 ↗First posted 18 May 2023cs.CVcited by 22

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Abstract (arXiv)

With the increasing interest and rapid development of methods for Ultra-High Resolution (UHR) segmentation, a large-scale benchmark covering a wide range of scenes with full fine-grained dense annotations is urgently needed to facilitate the field. To this end, the URUR dataset is introduced, in the meaning of Ultra-High Resolution dataset with Ultra-Rich Context. As the name suggests, URUR contains amounts of images with high enough resolution (3,008 images of size 5,120x5,120), a wide range of complex scenes (from 63 cities), rich-enough context (1 million instances with 8 categories) and fine-grained annotations (about 80 billion manually annotated pixels), which is far superior to all the existing UHR datasets including DeepGlobe, Inria Aerial, UDD, etc.. Moreover, we also propose WSDNet, a more efficient and effective framework for UHR segmentation especially with ultra-rich context. Specifically, multi-level Discrete Wavelet Transform (DWT) is naturally integrated to release computation burden while preserve more spatial details, along with a Wavelet Smooth Loss (WSL) to reconstruct original structured context and texture with a smooth constrain. Experiments on several UHR datasets demonstrate its state-of-the-art performance. The dataset is available at https://github.com/jankyee/URUR.

Key facts. Cited by 22 papers in the map (data through 7 Oct 2026). Builds on 29 of its 51 references that are in the map. First posted on arXiv 18 May 2023.

Builds on

29 of 51 references.

References · 29

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17 more
  1. 2019Segmentation Transformer: Object-Contextual Representations for Semantic Segmentationcited by 573
  2. 2019PointRend: Image Segmentation as Renderingcited by 439
  3. 2020BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentationcited by 294
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Citing papers per year: 2023: 3; 2024: 6; 2025: 6; 2026: 7.

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  1. 2024SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and Morecited by 58
  2. 2023LLaFS: When Large Language Models Meet Few-Shot Segmentationcited by 48
  3. 2025POPEN: Preference-Based Optimization and Ensemble for LVLM-Based Reasoning Segmentationcited by 22
  4. 2024Tree-of-Table: Unleashing the Power of LLMs for Enhanced Large-Scale Table Understandingcited by 20
  5. 2023Guided Patch-Grouping Wavelet Transformer with Spatial Congruence for Ultra-High Resolution Segmentationcited by 16
  6. 2024Discrete Latent Perspective Learning for Segmentation and Detectioncited by 16
  7. 2024View-Centric Multi-Object Tracking with Homographic Matching in Moving UAVcited by 10
  8. 2024PPTFormer: Pseudo Multi-Perspective Transformer for UAV Segmentationcited by 10
  9. 2025Structural and Statistical Texture Knowledge Distillation and Learning for Segmentationcited by 9
  10. 2023ChangeNet: Multi-Temporal Asymmetric Change Detection Datasetcited by 8
  11. 2025FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysiscited by 8
  12. 2025SAM3-Adapter: Efficient Adaptation of Segment Anything 3 for Camouflage Object Segmentation, Shadow Detection, and Medical Image Segmentationcited by 7
10 more
  1. 2026StreamCacheVGGT: Streaming Visual Geometry Transformers with Robust Scoring and Hybrid Cache Compressioncited by 5
  2. 2025RAVEN++: Pinpointing Fine-Grained Violations in Advertisement Videos with Active Reinforcement Reasoningcited by 4
  3. 2026HD-VGGT: High-Resolution Visual Geometry Transformercited by 3
  4. 2025SRMF: A Data Augmentation and Multimodal Fusion Approach for Long-Tail UHR Satellite Image Segmentationcited by 2
  5. 2026Robust 4D Visual Geometry Transformer with Uncertainty-Aware Priorscited by 2
  6. 2026Context-Aware Semantic Segmentation via Stage-Wise Attentioncited by 1
  7. 2024Resource Efficient Perception for Vision Systemscited by 0
  8. 2026Adapting Vision Transformers to Ultra-High Resolution Semantic Segmentation with Relay Tokenscited by 0
  9. 2026ARGUS: Policy-Adaptive Ad Governance via Evolving Reinforcement with Adversarial Umpiringcited by 0
  10. 2026SFR-Net: Learning Scale-Frustum Representations for Ultra-Wide Area Remote Sensing Image Segmentationcited by 0