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Mask Scoring R-CNN
TLDR
In this paper, we study this problem and propose Mask Scoring R-CNN which contains a network block to learn the quality of the predicted instance masks. Expand
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CCNet: Criss-Cross Attention for Semantic Segmentation
TLDR
We propose a Criss-Cross Network (CCNet) for obtaining contextual information of all the pixels on its criss-cross path. Expand
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DenseBox: Unifying Landmark Localization with End to End Object Detection
TLDR
We introduce DenseBox, a unified end-to-end FCN framework that directly predicts bounding boxes and object class confidences through all locations and scales of an image. Expand
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Parse geometry from a line: Monocular depth estimation with partial laser observation
TLDR
We propose a method to improve the precision of monocular depth estimation by introducing 2D planar observation from the remaining laser range finder without extra cost. Expand
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Learned Video Compression via Joint Spatial-Temporal Correlation Exploration
TLDR
We propose an one-stage learning approach to encapsulate flow as quantized features from consecutive frames which is then entropy coded with adaptive contexts conditioned on joint spatial-temporal priors to exploit second-order correlations. Expand
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Incorporating Structural Alternatives and Sharing into Hierarchy for Multiclass Object Recognition and Detection
TLDR
This paper proposes a reconfigurable model to recognize and detect multiclass (or multiview) objects with large variation in appearance. Expand
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RDSNet: A New Deep Architecture for Reciprocal Object Detection and Instance Segmentation
TLDR
This paper presents RDSNet, a novel deep architecture for reciprocal object detection and instance segmentation. Expand
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Unmanned monitoring system of rivers and lakes based on WSN
TLDR
Unmanned remote monitoring system based on WSN is feasible and reasonable for rivers and lakes in water environment monitoring. Expand
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Motion-Guided Spatial Time Attention for Video Object Segmentation
TLDR
In this paper, we propose a novel motion-guided attention module to implant the spatial and time consistency in the correlation map of the current frame with historical frames. Expand
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Object Detection in Video with Spatial-temporal Context Aggregation
TLDR
We propose a simple but effective feature aggregation framework which operates on the object proposal-level. Expand
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