The following pages link to Faster R-CNN (Q1352325):
Displaying 50 items.
- Predicting citywide crowd flows using deep spatio-temporal residual networks (Q1647516) (← links)
- Cox processes for counting by detection (Q1735951) (← links)
- A CNN-based shock detection method in flow visualization (Q1739782) (← links)
- Faster R-CNN with improved anchor box for cell recognition (Q1979630) (← links)
- Breast cancer mitotic cell detection using cascade convolutional neural network with U-net (Q1980107) (← links)
- Defect detection in code characters with complex backgrounds based on BBE (Q1984133) (← links)
- Circumventing the solution of inverse problems in mechanics through deep learning: application to elasticity imaging (Q1988119) (← links)
- Wavelet-based option pricing: an empirical study (Q1991243) (← links)
- A technical review of convolutional neural network-based mammographic breast cancer diagnosis (Q2003663) (← links)
- Convolution accelerator designs using fast algorithms (Q2004889) (← links)
- Global convergence and geometric characterization of slow to fast weight evolution in neural network training for classifying linearly non-separable data (Q2028920) (← links)
- Natural language guided object retrieval in images (Q2041680) (← links)
- Learning quantized neural nets by coarse gradient method for nonlinear classification (Q2050846) (← links)
- Deep human-interaction and association by graph-based learning for multiple object tracking in the wild (Q2054408) (← links)
- SSN: learning sparse switchable normalization via SparsestMax (Q2056134) (← links)
- Recursive context routing for object detection (Q2056431) (← links)
- Compositional convolutional neural networks: a robust and interpretable model for object recognition under occlusion (Q2056441) (← links)
- Error-resilient coding by convolutional neural networks for underwater video transmission (Q2058021) (← links)
- Global-affine and local-specific generative adversarial network for semantic-guided image generation (Q2063712) (← links)
- A comprehensive survey and analysis of generative models in machine learning (Q2065961) (← links)
- A comprehensive and systematic look up into deep learning based object detection techniques: a review (Q2065967) (← links)
- An upgraded-YOLO with object augmentation: mini-UAV detection under low-visibility conditions by improving deep neural networks (Q2084315) (← links)
- Purity assessment of pellets using deep learning (Q2086298) (← links)
- Certifiably robust interpretation via Rényi differential privacy (Q2093391) (← links)
- A capsule-unified framework of deep neural networks for graphical programming (Q2099868) (← links)
- Task-specific loss: a teacher-centered approach to transfer learning between distinctly structured robotic agents (Q2101736) (← links)
- Binary quantized network training with sharpness-aware minimization (Q2111176) (← links)
- Learning 3D semantic scene graphs with instance embeddings (Q2118429) (← links)
- Image segmentation using level set driven by generalized divergence (Q2118674) (← links)
- Human position detection based on depth camera image information in mechanical safety (Q2142441) (← links)
- A multi-hierarchical attention-based prediction method on time series with spatio-temporal context among variables (Q2162223) (← links)
- Scale-invariant scale-channel networks: deep networks that generalise to previously unseen scales (Q2163348) (← links)
- Inference, learning and attention mechanisms that exploit and preserve sparsity in CNNs (Q2193592) (← links)
- Understanding image representations by measuring their equivariance and equivalence (Q2193805) (← links)
- Stochastic quantization for learning accurate low-bit deep neural networks (Q2193833) (← links)
- Temporal action detection with structured segment networks (Q2193848) (← links)
- Deep learning for generic object detection: a survey (Q2193851) (← links)
- An intelligent forensics approach for detecting patch-based image inpainting (Q2214823) (← links)
- Boost image captioning with knowledge reasoning (Q2217420) (← links)
- Accelerating flash calculation through deep learning methods (Q2222279) (← links)
- Bottom-up scene text detection with Markov clustering networks (Q2226194) (← links)
- Multiple object tracking: a literature review (Q2238613) (← links)
- Commonsense visual sensemaking for autonomous driving -- on generalised neurosymbolic online abduction integrating vision and semantics (Q2238700) (← links)
- Simple feature pyramid network for weakly supervised object localization using multi-scale information (Q2239134) (← links)
- Intelligent system for planning group actions of unmanned aircraft in observing mobile objects on the ground in the specified area (Q2239195) (← links)
- A faster algorithm for reducing the computational complexity of convolutional neural networks (Q2283825) (← links)
- Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade (Q2303264) (← links)
- FEA-Net: a physics-guided data-driven model for efficient mechanical response prediction (Q2309378) (← links)
- Multi-path convolutional neural network for lung cancer detection (Q2326095) (← links)
- Breast microcalcification diagnosis using deep convolutional neural network from digital mammograms (Q2632267) (← links)
