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Layered object detection for multi-class segmentation

Layered object detection for multi-class segmentation,10.1109/CVPR.2010.5540070,Yi Yang,Sam Hallman,Deva Ramanan,Charless Fowlkes

Layered object detection for multi-class segmentation   (Citations: 10)
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We formulate a layered model for object detection and multi-class segmentation. Our system uses the output of a bank of object detectors in order to define shape priors for support masks and then estimates appearance, depth ordering and labeling of pixels in the image. We train our system on the PASCAL segmentation challenge dataset and show good test results with state of the art performance in several categories including segmenting humans.
Conference: Computer Vision and Pattern Recognition - CVPR , pp. 3113-3120, 2010
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    • ...The model is recursively used to build up a hierarchical graph for object segmentation (Ladicky et al. 2009), and inference can be achieved using graph cuts (Russell et al. 2010)...

    Xavier Boixet al. Harmony Potentials

    • ...Most related to our work is the approach in [19]...
    • ...Another interesting observation is that we obtain significantly better segmentation results than methods building upon the detector in [10], such as [19] or the Chicago entry in Table 2, although poselets overall perform worse than [10] in the detection task...

    Thomas Broxet al. Object segmentation by alignment of poselet activations to image conto...

    • ...is exploited in part-based modeling to influence a bottomup grouping process [12, 28]...

    Luca Bertelliet al. Kernelized structural SVM learning for supervised object segmentation

    • ...Intuitively, jointly solving these two tasks can help each benefit from each other: a bounding box object detector can offer the segmentation model good location and shape priors [12, 22]; a segmentation model can prov ide the detector cleaner features, especially in the face of clutter [8]...
    • ...Yang et al. [22] represent ordered layers of obj ect detections to estimate refined object appearance, similar to the order-based energy that we introduce in ourglobal coherent model (Section 5). They use this ordering to improve o nly segmentation performance but not detection...

    Tianshi Gaoet al. A segmentation-aware object detection model with occlusion handling

    • ...In order to provide a mechanism for feedback, the resulting segmentations can be used to either rescore detections (see e.g., [23]) and/or combined to yield a consistent interpretation of the entire scene (see e.g., [31])...

    Yihang Boet al. Shape-based pedestrian parsing

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