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 18011825 of 10419 papers

TitleStatusHype
Anytime Continual Learning for Open Vocabulary ClassificationCode1
Recalibrating Fully Convolutional Networks with Spatial and Channel 'Squeeze & Excitation' BlocksCode1
Adversarial Continual LearningCode1
ReCLIP: Refine Contrastive Language Image Pre-Training with Source Free Domain AdaptationCode1
Recurrence along Depth: Deep Convolutional Neural Networks with Recurrent Layer AggregationCode1
Recurrent Models of Visual AttentionCode1
A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network InferenceCode1
Refiner: Refining Self-attention for Vision TransformersCode1
Active Domain Adaptation via Clustering Uncertainty-weighted EmbeddingsCode1
RegionViT: Regional-to-Local Attention for Vision TransformersCode1
Optimized spiking neurons classify images with high accuracy through temporal coding with two spikesCode1
COVID-CXNet: Detecting COVID-19 in Frontal Chest X-ray Images using Deep LearningCode1
A Partially Reversible U-Net for Memory-Efficient Volumetric Image SegmentationCode1
Regularized Optimal Transport Layers for Generalized Global Pooling OperationsCode1
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized LabelsCode1
Class-Incremental Grouping Network for Continual Audio-Visual LearningCode1
Relative Positional Encoding for Transformers with Linear ComplexityCode1
Reliable Deep Learning Plant Leaf Disease Classification Based on Light-Chroma Separated BranchesCode1
CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 DiagnosisCode1
DeepMIM: Deep Supervision for Masked Image ModelingCode1
Remote Sensing Image Classification with the SEN12MS DatasetCode1
RepMLPNet: Hierarchical Vision MLP with Re-parameterized LocalityCode1
DeepNoise: Signal and Noise Disentanglement based on Classifying Fluorescent Microscopy Images via Deep LearningCode1
Res2Net: A New Multi-scale Backbone ArchitectureCode1
Deep Hyperspectral Unmixing using Transformer NetworkCode1
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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