Convolutional Neural Networks
ESPNetv2
Introduced by Mehta et al. in ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural NetworkESPNetv2 is a convolutional neural network that utilises group point-wise and depth-wise dilated separable convolutions to learn representations from a large effective receptive field with fewer FLOPs and parameters.
Source: ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| General Classification | 1 | 14.29% |
| Image Classification | 1 | 14.29% |
| Language Modelling | 1 | 14.29% |
| Object Detection | 1 | 14.29% |
| Real-Time Object Detection | 1 | 14.29% |
| Real-Time Semantic Segmentation | 1 | 14.29% |
| Semantic Segmentation | 1 | 14.29% |
Convolution
Dense Connections
EESP
Global Average Pooling
Softmax
Strided EESP
