HyperAIHyperAI超神经
首页算力平台文档资讯论文教程数据集百科SOTALLM 模型天梯GPU 天梯顶会
全站搜索
关于
HyperAIHyperAI超神经

Fine Grained Image Classification On Oxford 1

评估指标

Accuracy

评测结果

各个模型在此基准测试上的表现结果

Paper TitleRepository
OmniVec299.6OmniVec2 - A Novel Transformer based Network for Large Scale Multimodal and Multitask Learning-
OmniVec99.2OmniVec: Learning robust representations with cross modal sharing-
DINOv2 (ViT-g/14, frozen model, linear eval)96.7DINOv2: Learning Robust Visual Features without Supervision
ViT R26 + S/32 ( Augmented)96.28Towards Fine-grained Image Classification with Generative Adversarial Networks and Facial Landmark Detection
ALIGN96.19%Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
EfficientNet-B795.4%EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
IELT95.28%Fine-Grained Visual Classification via Internal Ensemble Learning Transformer-
Bamboo (ViT-B/16)95.1%Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine Synergy
TNT-B95.0%Transformer in Transformer
AutoFormer-S | 38494.9%AutoFormer: Searching Transformers for Visual Recognition
FixSENet-15494.8%Fixing the train-test resolution discrepancy
AutoAugment88.98%AutoAugment: Learning Augmentation Policies from Data
SEER (RegNet10B)85.3%Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
NAT-M1-Neural Architecture Transfer
0 of 14 row(s) selected.
Fine Grained Image Classification On Oxford 1 | SOTA | HyperAI超神经