mlsanityData to 14 Oct 2026

Pseudo-Label Refinement for Robust Wheat Head Segmentation via Two-Stage Hybrid Training

arXiv 2512.11874 ↗First posted 7 Dec 2025cs.CVcited by 0

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Abstract (arXiv)

This extended abstract details our solution for the Global Wheat Full Semantic Segmentation Competition. We developed a systematic self-training framework. This framework combines a two-stage hybrid training strategy with extensive data augmentation. Our core model is SegFormer with a Mix Transformer (MiT-B4) backbone. We employ an iterative teacher-student loop. This loop progressively refines model accuracy. It also maximizes data utilization. Our method achieved competitive performance. This was evident on both the Development and Testing Phase datasets.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 7 of its 10 references that are in the map. First posted on arXiv 7 Dec 2025.

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7 of 10 references.

References · 7

  1. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,713
  2. 2015Distilling the Knowledge in a Neural Networkcited by 10,324
  3. 2023Segment Anythingcited by 8,234
  4. 2014Fully Convolutional Networks for Semantic Segmentationcited by 4,859
  5. 2021SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformerscited by 2,940
  6. 2021Masked-attention Mask Transformer for Universal Image Segmentationcited by 2,351
  7. 2024Semi-Self-Supervised Domain Adaptation: Developing Deep Learning Models with Limited Annotated Data for Wheat Head Segmentationcited by 5

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  1. 2025First Place Solution to the MLCAS 2025 GWFSS Challenge: The Devil is in the Detail and Minority
  2. 2026Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress Phenotyping
  3. 2026How Merge-Tolerant Are Vision Transformers for Wheat Phenotyping?
  4. 2024SynthSet: Generative Diffusion Model for Semantic Segmentation in Precision Agriculture
  5. 2025WisWheat: A Three-Tiered Vision-Language Dataset for Wheat Management
  6. 2023Unsupervised Domain Adaptation for Semantic Segmentation with Pseudo Label Self-Refinement
  7. 2023Focus on Your Target: A Dual Teacher-Student Framework for Domain-adaptive Semantic Segmentation
  8. 2026CropVLM: A Domain-Adapted Vision-Language Model for Open-Set Crop Analysis