Pages that link to "Item:Q2193851"
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The following pages link to Deep learning for generic object detection: a survey (Q2193851):
Displaying 20 items.
- A survey on deep learning and its applications (Q826338) (← links)
- A general framework for deep supervised discrete hashing (Q2056135) (← links)
- Learning multifunctional binary codes for personalized image retrieval (Q2056137) (← links)
- Recursive context routing for object detection (Q2056431) (← links)
- A comprehensive and systematic look up into deep learning based object detection techniques: a review (Q2065967) (← links)
- Bi-shifting semantic auto-encoder for zero-shot learning (Q2127478) (← links)
- Boundary correspondence for iso-geometric analysis based on deep learning (Q2699493) (← links)
- Surrogate data: A novel approach to object detection (Q3053684) (← links)
- A survey of few-shot object detection (Q3307980) (← links)
- Object detection based on relationship between objects and scene-level information (Q3386105) (← links)
- (Q3386322) (← links)
- (Q4472048) (← links)
- Advances and perspectives on applications of deep learning in visual object detection (Q4642808) (← links)
- A survey of panoptic segmentation methods (Q4998063) (← links)
- The Train of Artificial Intelligence (Q5049286) (← links)
- Status and development of transfer learning based category-level object recognition and detection (Q5209002) (← links)
- Research and realization of video target detection system based on deep learning (Q5220329) (← links)
- Deep learning-based multiple moving vehicle detection and tracking using a nonlinear fourth-order reaction-diffusion based multi-scale video object analysis (Q6160643) (← links)
- A survey on deep learning-based diffeomorphic mapping (Q6606481) (← links)
- AdaLo: adaptive learning rate optimizer with loss for classification (Q6645078) (← links)
