SOTAVerified

Image Classification

Image Classification is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike object detection, which involves classification and location of multiple objects within an image, image classification typically pertains to single-object images. When the classification becomes highly detailed or reaches instance-level, it is often referred to as image retrieval, which also involves finding similar images in a large database.

Source: Metamorphic Testing for Object Detection Systems

Papers

Showing 15761600 of 10420 papers

TitleStatusHype
Multiscale Vision TransformersCode1
All Tokens Matter: Token Labeling for Training Better Vision TransformersCode1
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and TextCode1
ImageNet-21K Pretraining for the MassesCode1
Gradient Matching for Domain GeneralizationCode1
Differentiable Model Compression via Pseudo Quantization NoiseCode1
Contrastive Learning Improves Model Robustness Under Label NoiseCode1
Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?Code1
"BNN - BN = ?": Training Binary Neural Networks without Batch NormalizationCode1
AsymmNet: Towards ultralight convolution neural networks using asymmetrical bottlenecksCode1
A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data AugmentationCode1
Self-Supervised Learning of Remote Sensing Scene Representations Using Contrastive Multiview CodingCode1
ViT-V-Net: Vision Transformer for Unsupervised Volumetric Medical Image RegistrationCode1
Fast Hierarchical Games for Image ExplanationsCode1
Class-Balanced Distillation for Long-Tailed Visual RecognitionCode1
LocalViT: Bringing Locality to Vision TransformersCode1
Fruit Quality and Defect Image Classification with Conditional GAN Data AugmentationCode1
Escaping the Big Data Paradigm with Compact TransformersCode1
Zero-Shot Learning on 3D Point Cloud Objects and BeyondCode1
Direct Differentiable Augmentation SearchCode1
CondenseNet V2: Sparse Feature Reactivation for Deep NetworksCode1
Robust Self-Ensembling Network for Hyperspectral Image ClassificationCode1
Robust Differentiable SVDCode1
Fourier Image TransformerCode1
Beyond Categorical Label Representations for Image ClassificationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified