Dichotomous Image Segmentation
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Benchmarks
Most implemented
U-Net: Convolutional Networks for Biomedical Image Segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
Searching for MobileNetV3
Pyramid Scene Parsing Network
Deep High-Resolution Representation Learning for Visual Recognition
U$^2$-Net: Going Deeper with Nested U-Structure for Salient Object Detection
Papers
FlowDIS: Language-Guided Dichotomous Image Segmentation with Flow Matching
Accurate image segmentation is essential for modern computer vision applications such as image editing, autonomous driving, and medical image analysis. In recent years, Dichotomous Image Segmentation (DIS) has become a s…
Dichotomous Image SegmentationObject SegmentationAutonomous DrivingImage EditingSAM2-UNeXT: An Improved High-Resolution Baseline for Adapting Foundation Models to Downstream Segmentation Tasks
Recent studies have highlighted the potential of adapting the Segment Anything Model (SAM) for various downstream tasks. However, constructing a more powerful and generalizable encoder to further enhance performance rema…
Dichotomous Image SegmentationSaliency DetectionObject DetectionLawDIS: Language-Window-based Controllable Dichotomous Image Segmentation
We present LawDIS, a language-window-based controllable dichotomous image segmentation (DIS) framework that produces high-quality object masks. Our framework recasts DIS as an image-conditioned mask generation task withi…
Dichotomous Image SegmentationPatch-Depth Fusion: Dichotomous Image Segmentation via Fine-Grained Patch Strategy and Depth Integrity-Prior
Dichotomous Image Segmentation (DIS) is a high-precision object segmentation task for high-resolution natural images. The current mainstream methods focus on the optimization of local details but overlook the fundamental…
Dichotomous Image SegmentationImage SegmentationRGB Salient Object DetectionSegmentation+1BEN: Using Confidence-Guided Matting for Dichotomous Image Segmentation
Current approaches to dichotomous image segmentation (DIS) treat image matting and object segmentation as fundamentally different tasks. As improvements in image segmentation become increasingly challenging to achieve, c…
Dichotomous Image SegmentationImage MattingImage SegmentationSegmentation+1Mask Factory: Towards High-quality Synthetic Data Generation for Dichotomous Image Segmentation
Dichotomous Image Segmentation (DIS) tasks require highly precise annotations, and traditional dataset creation methods are labor intensive, costly, and require extensive domain expertise. Although using synthetic data f…
Dichotomous Image SegmentationImage SegmentationSemantic SegmentationSynthetic Data Generation