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 38013825 of 10420 papers

TitleStatusHype
TokenMixup: Efficient Attention-guided Token-level Data Augmentation for TransformersCode1
Sequential Learning Of Neural Networks for Prequential MDL0
Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional NetworksCode1
MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized RecommendationCode0
Confidence estimation of classification based on the distribution of the neural network output layer0
WaveMix-Lite: A Resource-efficient Neural Network for Image AnalysisCode1
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models0
SageMix: Saliency-Guided Mixup for Point CloudsCode1
Improving the Reliability for Confidence Estimation0
Are Sample-Efficient NLP Models More Robust?0
ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document UnderstandingCode1
Latency-aware Spatial-wise Dynamic NetworksCode1
Semantic Cross Attention for Few-shot LearningCode0
On Divergence Measures for Bayesian PseudocoresetsCode0
Image Projective Transformation Rectification with Synthetic Data for Smartphone-captured Chest X-ray Photos ClassificationCode0
Deep Combinatorial AggregationCode0
A Unified Framework with Meta-dropout for Few-shot Learning0
Token-Label Alignment for Vision TransformersCode1
Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation LearningCode1
Deep Active Ensemble Sampling For Image Classification0
Designing Robust Transformers using Robust Kernel Density Estimation0
STSC-SNN: Spatio-Temporal Synaptic Connection with Temporal Convolution and Attention for Spiking Neural NetworksCode1
The Equalization Losses: Gradient-Driven Training for Long-tailed Object RecognitionCode2
Edge-Cloud Cooperation for DNN Inference via Reinforcement Learning and Supervised Learning0
Schedule-Robust Online Continual Learning0
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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