Gawande et al., 2020
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|---|---|---|
| Cao et al. | From handcrafted to deep features for pedestrian detection: A survey | |
| Abbas et al. | A comprehensive review of recent advances on deep vision systems | |
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| Gawande et al. | SIRA: Scale illumination rotation affine invariant mask R-CNN for pedestrian detection | |
| Chen et al. | An integrated deep learning framework for occluded pedestrian tracking | |
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| Neha et al. | From classical techniques to convolution-based models: A review of object detection algorithms | |
| El-Alami et al. | A review of object detection approaches for traffic surveillance systems. | |
| Gawande et al. | Scale invariant mask r-cnn for pedestrian detection | |
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| Lamichhane et al. | CNN based 2D object detection techniques: a review | |
| Xu et al. | Rapid pedestrian detection based on deep omega-shape features with partial occlusion handing | |
| Mohandas et al. | Object detection and movement tracking using tubelets and faster RCNN algorithm with anchor generation | |
| Paramanandam et al. | A review on deep learning techniques for saliency detection | |
| Srivastava et al. | An efficient approach for pedestrian detection | |
| Hsu et al. | Head detection using motion features and multi level pyramid architecture |