备注
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模型库统计¶
论文数量: 34
ALGORITHM: 34
模型权重文件数量: 224
[ALGORITHM] Conformer: Local Features Coupling Global Representations for Visual Recognition (4 ckpts)
[ALGORITHM] Patches Are All You Need? (3 ckpts)
[ALGORITHM] A ConvNet for the 2020s (13 ckpts)
[ALGORITHM] CSPNet: A New Backbone that can Enhance Learning Capability of CNN (3 ckpts)
[ALGORITHM] Residual Attention: A Simple but Effective Method for Multi-Label Recognition (1 ckpts)
[ALGORITHM] Training data-efficient image transformers & distillation through attention (9 ckpts)
[ALGORITHM] Densely Connected Convolutional Networks (4 ckpts)
[ALGORITHM] EfficientFormer: Vision Transformers at MobileNet Speed (3 ckpts)
[ALGORITHM] Rethinking Model Scaling for Convolutional Neural Networks (23 ckpts)
[ALGORITHM] HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions (9 ckpts)
[ALGORITHM] Deep High-Resolution Representation Learning for Visual Recognition (9 ckpts)
[ALGORITHM] MLP-Mixer: An all-MLP Architecture for Vision (2 ckpts)
[ALGORITHM] MobileNetV2: Inverted Residuals and Linear Bottlenecks (1 ckpts)
[ALGORITHM] Searching for MobileNetV3 (2 ckpts)
[ALGORITHM] MViTv2: Improved Multiscale Vision Transformers for Classification and Detection (4 ckpts)
[ALGORITHM] MetaFormer is Actually What You Need for Vision (5 ckpts)
[ALGORITHM] Designing Network Design Spaces (16 ckpts)
[ALGORITHM] RepMLP: Re-parameterizing Convolutions into Fully-connected Layers forImage Recognition (2 ckpts)
[ALGORITHM] Repvgg: Making vgg-style convnets great again (12 ckpts)
[ALGORITHM] Res2Net: A New Multi-scale Backbone Architecture (3 ckpts)
[ALGORITHM] Deep Residual Learning for Image Recognition (26 ckpts)
[ALGORITHM] Aggregated Residual Transformations for Deep Neural Networks (4 ckpts)
[ALGORITHM] Squeeze-and-Excitation Networks (2 ckpts)
[ALGORITHM] ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices (1 ckpts)
[ALGORITHM] Shufflenet v2: Practical guidelines for efficient cnn architecture design (1 ckpts)
[ALGORITHM] Swin Transformer: Hierarchical Vision Transformer using Shifted Windows (14 ckpts)
[ALGORITHM] Swin Transformer V2: Scaling Up Capacity and Resolution (12 ckpts)
[ALGORITHM] Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet (3 ckpts)
[ALGORITHM] Transformer in Transformer (1 ckpts)
[ALGORITHM] Twins: Revisiting the Design of Spatial Attention in Vision Transformers (6 ckpts)
[ALGORITHM] Visual Attention Network (8 ckpts)
[ALGORITHM] Very Deep Convolutional Networks for Large-Scale Image Recognition (8 ckpts)
[ALGORITHM] An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (7 ckpts)
[ALGORITHM] Wide Residual Networks (3 ckpts)