OpenCodePapers

fine-grained-image-classification-on-food-101

Fine-Grained Image Classification
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PaperCodeAccuracyFLOPSPARAMSTop 1 AccuracyModelNameReleaseDate
Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification✓ Link98.634.2CAP2021-01-17
Sharpness-Aware Minimization for Efficiently Improving Generalization✓ Link96.18EffNet-L2 (SAM)2020-10-03
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision✓ Link95.88ALIGN2021-02-11
Dining on Details: LLM-Guided Expert Networks for Fine-Grained Food Recognition94.9DoD (SwinV2-B)2023-10-29
Learning Multi-Subset of Classes for Fine-Grained Food Recognition✓ Link93.81CSWin-L2022-10-10
Grafit: Learning fine-grained image representations with coarse labels93.7Grafit (RegNet-8GF)2020-11-25
Learning Multi-Subset of Classes for Fine-Grained Food Recognition✓ Link93.66VOLO-D52022-10-10
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks✓ Link93.0EfficientNet-B72019-05-28
Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network✓ Link92.592.47Assemble-ResNet-FGVC-502020-01-17
A Continual Development Methodology for Large-scale Multitask Dynamic ML Systems✓ Link91.47µ2Net+ (ViT-L/16)2022-09-15
Neural Architecture Transfer✓ Link89.4361M4.5MNAT-M42020-05-12
Neural Architecture Transfer✓ Link89.0299M3.9MNAT-M32020-05-12
Neural Architecture Transfer✓ Link88.5266M4.1MNAT-M22020-05-12
Neural Architecture Transfer✓ Link87.4198M3.1MNAT-M12020-05-12
Domain Adaptive Transfer Learning on Visual Attention Aware Data Augmentation for Fine-grained Visual Categorization88.7ImageNet + iNat on WS-DAN2020-10-06
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