Cascaded Sparse Spatial Bins for Efficient and Effective Generic Object Detection
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- Type
- article
- Published
- 2015-04-27
- Cited by
- 8
- References
- 42
- Access
- Open access
- OpenAlex
- https://openalex.org/W749296795
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:10378325
Keywords
Pascal (unit), Computer science, Artificial intelligence, Object detection, Pattern recognition (psychology)
References
- Online Learning for Group Lasso
- Scalable, High-Quality Object Detection
- Object-Proposal Evaluation Protocol is ‘Gameable’
- Boosting Convolutional Features for Robust Object Proposals
- What Makes for Effective Detection Proposals?
- Proposal generation for object detection using cascaded ranking SVMs
- Multiscale Combinatorial Grouping
- Efficient Graph-Based Image Segmentation
- Generating Object Segmentation Proposals Using Global and Local Search
- Constrained parametric min-cuts for automatic object segmentation
- The Pascal Visual Object Classes (VOC) Challenge
- RIGOR: Reusing Inference in Graph Cuts for Generating Object Regions
- Cracking BING and Beyond
- Scalable Object Detection Using Deep Neural Networks
- Selective Search for Object Recognition
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
- How good are detection proposals, really?
- Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
- ImageNet Large Scale Visual Recognition Challenge
- Prime Object Proposals with Randomized Prim's Algorithm
Cited by
- Optimization for Detection and Recognition in Images and Videos
- Improving object proposals with top-down cues
- Box Refinement: Object Proposal Enhancement and Pruning
- Real-Time Detection for Camera Sensing System: Adaptive Cascade Single-Shot Detector
- A Real Time Object Detection in Integral Part of Computer Vision using Novel Image Classification of Faster R-CNN Algorithm over Fast R-CNN Algorithm
- A Supervised Stable Object Detection with Image Feature Extraction using Image Segmentation by Comparing Histogram of Oriented Gradients (HOG) Algorithm over Scale Invariant Feature Transform (SIFT) Algorithm Model.
- An Improved Moving Object Detection in a Wide Area Environment using Image Classification and Recognition by Comparing You Only Look Once (YOLO) Algorithm over Deformable Part Models (DPM) Algorithm.
- Real-Time Highway Litter Detection Based on Attention Bidirectional Feature Pyramid Cascade Network
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