MDSSD: multi-scale deconvolutional single shot detector for small objects
نویسندگان
چکیده
منابع مشابه
DSSD : Deconvolutional Single Shot Detector
The main contribution of this paper is an approach for introducing additional context into state-of-the-art general object detection. To achieve this we first combine a state-ofthe-art classifier (Residual-101 [14]) with a fast detection framework (SSD [18]). We then augment SSD+Residual101 with deconvolution layers to introduce additional largescale context in object detection and improve accu...
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Aggregating context information from multiple scales has been proved to be effective for improving accuracy of Single Shot Detectors (SSDs) on object detection. However, existing multi-scale context fusion techniques are computationally expensive, which unfavorably diminishes the advantageous speed of SSD. In this work, we propose a novel network topology, called WeaveNet, that can efficiently ...
متن کاملContext-aware Single-Shot Detector
SSD [18] is one of the state-of-the-art object detection algorithms, and it combines high detection accuracy with real-time speed. However, it is widely recognized that SSD is less accurate in detecting small objects compared to large objects, because it ignores the context from outside the proposal boxes. In this paper, we present CSSD– a shorthand for context-aware single-shot multibox object...
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We present a method for detecting objects in images using a single deep neural network. Our approach, named SSD, discretizes the output space of bounding boxes into a set of default boxes over different aspect ratios and scales per feature map location. At prediction time, the network generates scores for the presence of each object category in each default box and produces adjustments to the b...
متن کاملFSSD: Feature Fusion Single Shot Multibox Detector
SSD (Single Shot Multibox Detetor) is one of the best object detection algorithms with both high accuracy and fast speed. However, SSD’s feature pyramid detection method makes it hard to fuse the features from different scales. In this paper, we proposed FSSD (Feature Fusion Single Shot Multibox Detector), an enhanced SSD with a novel and lightweight feature fusion module which can improve the ...
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ژورنال
عنوان ژورنال: Science China Information Sciences
سال: 2020
ISSN: 1674-733X,1869-1919
DOI: 10.1007/s11432-019-2723-1