Image retargeting has a close relationship to image saliency detection, which is a relatively new image processing task. Earlier saliency detection methods were based on local and global but low-level image information. These methods are called bottom-up processes. On the other hand, newer ...
A Breakage Detection Based on Context-aware Saliency Detection It is not the best idea of using a simple way of image segmentation and edge detection in detecting the breakage of transparent plastics in industrial area... CK Ding,WN Zhou - 《Computer & Modernization》 被引量: 109发表: 2015...
For example, one could incorporate the face detection algorithm, which generates 1 for face pixels and 0 otherwise. The saliency map can then be modified by taking the maximum value of the saliency map and the face map. This part is excluded in this paper. ....
取长补短Additionally use global context information to help understand the relationship between different objects (ping-pong ball for example), which is beneficial in generate more complete and accurate saliency map.What's more, global context information helps alleviate the effect of feature dilution....
About Global Context-Aware Progressive Aggregation Network for Salient Object Detection Topics salient-object-detection saliency-detection aaai2020 Resources Readme Activity Stars 114 stars Watchers 6 watching Forks 24 forks Report repository ...
SSPNet: Learning spatiotemporal saliency prediction networks for visual tracking. Inf. Sci. 2021, 575, 399–416. [Google Scholar] [CrossRef] Chen, K.; Tao, W.; Han, S. Visual object tracking via enhanced structural correlation filter. Inf. Sci. 2017, 394, 232–245. [Google Scholar] [...
At stages 901-904, objects are analyzed for saliency, persistency, and perspective at a reference point. At stages 901-902, a salient track is selected, and its tracked object's size persistency is evaluated. An object is considered size persistent if the object's size is within a certain ...
For example an object detection network first detects if there are any humans in an image before a separate network can detect human specific features like age or gender on the detected humans. This creates a cascading relationship between networks within an inference task. With this relationship ...
Finally, such models have shown success in other vision tasks such as human pose estimation [27], saliency detection [28], and object detection [29,30]. These methods can recover spatial details, albeit may perform poorly in segmenting fine object boundaries. It maybe owing to under and/or ...
Consequently, a more accurate initial saliency map can be obtained to facilitate subsequent predictions. SCA-Net also adopts a Short-Path Context Module (SPCM) to progressively enforce the interaction between local contextual cues and global features. Extensive experiments on five large-scale benchmark...