| HardcoreNAS_D_KD |
- Top-1 Error Rate
- 20.5
- Accuracy
- 79.5
- MACs
- 290M
|
HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search 2021-02-23 |
코드 1 · 코드 2 |
| ISyNet-N2 |
- Top-1 Error Rate
- 20.59
|
ISyNet: Convolutional Neural Networks design for AI accelerator 2021-09-04 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9 |
| AlphaNet-A3 |
- Top-1 Error Rate
- 20.6
- Accuracy
- 79.4
- FLOPs
- 357M
|
AlphaNet: Improved Training of Supernets with Alpha-Divergence 2021-02-16 |
코드 1 · 코드 2 |
| AlphaNet-A2 |
- Top-1 Error Rate
- 20.8
- Accuracy
- 79.2
- FLOPs
- 317M
|
AlphaNet: Improved Training of Supernets with Alpha-Divergence 2021-02-16 |
코드 1 · 코드 2 |
| NSGANetV2-l |
- Top-1 Error Rate
- 20.9
- Accuracy
- 79.1
- Params
- 8.0M
- MACs
- 400M
|
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search 2020-07-20 |
코드 1 |
| AttentiveNAS-A3 |
- Top-1 Error Rate
- 20.9
- Accuracy
- 79.1
- MACs
- 357M
|
AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling 2020-11-18 |
코드 1 · 코드 2 |
| AlphaNet-A1 |
- Top-1 Error Rate
- 21.0
- Accuracy
- 79.0
- FLOPs
- 279M
|
AlphaNet: Improved Training of Supernets with Alpha-Divergence 2021-02-16 |
코드 1 · 코드 2 |
| SEDONA (ResNet-152, K=4) |
- Top-1 Error Rate
- 21.09
|
SEDONA: Search for Decoupled Neural Networks toward Greedy Block-wise Learning 2021-01-01 |
코드 1 |
| BigNASModel-M |
- Top-1 Error Rate
- 21.1
- Accuracy
- 78.9
- Params
- 5.5M
- MACs
- 418M
|
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models 2020-03-24 |
코드 1 |
| HardcoreNAS_C_KD |
- Top-1 Error Rate
- 21.1
- Accuracy
- 78.9
- MACs
- 270M
|
HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search 2021-02-23 |
코드 1 · 코드 2 |
| HardcoreNAS_B_KD |
- Top-1 Error Rate
- 21.2
- Accuracy
- 78.8
- MACs
- 250M
|
HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search 2021-02-23 |
코드 1 · 코드 2 |
| AttentiveNAS-A2 |
- Top-1 Error Rate
- 21.2
- Accuracy
- 78.8
- MACs
- 317M
|
AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling 2020-11-18 |
코드 1 · 코드 2 |
| μDARTS |
- Top-1 Error Rate
- 21.24
- Accuracy
- 78.76
- Params
- 602M
|
$μ$DARTS: Model Uncertainty-Aware Differentiable Architecture Search 2021-07-24 |
연결 없음 |
| NAT-M2 |
- Top-1 Error Rate
- 21.4
- Accuracy
- 78.6
- Params
- 7.7M
- MACs
- 312M
|
Neural Architecture Transfer 2020-05-12 |
코드 1 · 코드 2 |
| LayerNAS-600M |
- Top-1 Error Rate
- 21.4
- Params
- 9.7M
- MACs
- 627M
|
LayerNAS: Neural Architecture Search in Polynomial Complexity 2023-04-23 |
연결 없음 |
| ISyNet-N1-S3 |
- Top-1 Error Rate
- 21.45
|
ISyNet: Convolutional Neural Networks design for AI accelerator 2021-09-04 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9 |
| DNA-d |
- Top-1 Error Rate
- 21.6
- Accuracy
- 78.4
- FLOPs
- 611M
- Params
- 6.4M
|
Blockwisely Supervised Neural Architecture Search with Knowledge Distillation 2019-11-29 |
코드 1 |
| AttentiveNAS-A1 |
- Top-1 Error Rate
- 21.6
- Accuracy
- 78.4
- MACs
- 279M
|
AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling 2020-11-18 |
코드 1 · 코드 2 |
| NSGANetV2-m |
- Top-1 Error Rate
- 21.7
- Accuracy
- 78.3
- Params
- 7.7M
- MACs
- 312M
|
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search 2020-07-20 |
코드 1 |
| HardcoreNAS_A_KD |
- Top-1 Error Rate
- 21.7
- Accuracy
- 78.3
- MACs
- 220M
|
HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search 2021-02-23 |
코드 1 · 코드 2 |
| NASViT-A0 |
- Top-1 Error Rate
- 21.8
- Accuracy
- 78.2
- FLOPs
- 208M
|
NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training 2021-09-29 |
코드 1 |
| HardcoreNAS_F |
- Top-1 Error Rate
- 21.9
- Accuracy
- 78.1
- MACs
- 340M
|
HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search 2021-02-23 |
코드 1 · 코드 2 |
| FBNetV3-A |
- Top-1 Error Rate
- 22.0
- Accuracy
- 78.0
- MACs
- 343M
|
FBNetV3: Joint Architecture-Recipe Search using Predictor Pretraining 2020-06-03 |
코드 1 · 코드 2 |
| NoisyDARTS-A |
- Top-1 Error Rate
- 22.1
- Accuracy
- 77.9
- Params
- 5.5M
- MACs
- 449M
|
Noisy Differentiable Architecture Search 2020-05-07 |
코드 1 |
| AlphaNet-A0 |
- Top-1 Error Rate
- 22.1
- Accuracy
- 77.9
- FLOPs
- 203M
|
AlphaNet: Improved Training of Supernets with Alpha-Divergence 2021-02-16 |
코드 1 · 코드 2 |
| HardcoreNAS_E |
- Top-1 Error Rate
- 22.1
- Accuracy
- 77.9
- MACs
- 330M
|
HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search 2021-02-23 |
코드 1 · 코드 2 |
| ISyNet-N1-S2 |
- Top-1 Error Rate
- 22.15
|
ISyNet: Convolutional Neural Networks design for AI accelerator 2021-09-04 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9 |
| DNA-c |
- Top-1 Error Rate
- 22.2
- Accuracy
- 77.8
- FLOPs
- 466M
- Params
- 5.3M
|
Blockwisely Supervised Neural Architecture Search with Knowledge Distillation 2019-11-29 |
코드 1 |
| ZenNAS (0.1ms) |
- Top-1 Error Rate
- 22.2
- Accuracy
- 77.8
- FLOPs
- 1.7G
- Params
- 30.1
|
Zen-NAS: A Zero-Shot NAS for High-Performance Deep Image Recognition 2021-02-01 |
코드 1 · 코드 2 |
| AutoNL-L |
- Top-1 Error Rate
- 22.3
- Accuracy
- 77.7
|
Neural Architecture Search for Lightweight Non-Local Networks 2020-04-04 |
코드 1 · 코드 2 |