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 61516175 of 10420 papers

TitleStatusHype
Exploiting Invariance in Training Deep Neural NetworksCode0
DAP: Detection-Aware Pre-training with Weak SupervisionCode0
Distribution Alignment: A Unified Framework for Long-tail Visual RecognitionCode1
Learning Representational Invariances for Data-Efficient Action RecognitionCode1
Rethinking Spatial Dimensions of Vision TransformersCode1
MT3: Meta Test-Time Training for Self-Supervised Test-Time AdaptionCode1
Model-Contrastive Federated LearningCode1
Automating Defense Against Adversarial Attacks: Discovery of Vulnerabilities and Application of Multi-INT Imagery to Protect Deployed Models0
Data Augmentation in a Hybrid Approach for Aspect-Based Sentiment AnalysisCode0
Classifying Video based on Automatic Content Detection Overview0
[Re] Rigging the Lottery: Making All Tickets WinnersCode1
Selective Output Smoothing Regularization: Regularize Neural Networks by Softening Output Distributions0
ViViT: A Video Vision TransformerCode1
Capsule Network is Not More Robust than Convolutional Network0
Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image EncodingCode1
Rethinking Neural Operations for Diverse TasksCode1
CvT: Introducing Convolutions to Vision TransformersCode1
"Weak AI" is Likely to Never Become "Strong AI", So What is its Greatest Value for us?0
Explaining Representation by Mutual Information0
BA^2M: A Batch Aware Attention Module for Image Classification0
TransCenter: Transformers with Dense Representations for Multiple-Object TrackingCode1
IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object TrackingCode1
On the benefits of robust models in modulation recognition0
Going Deeper Into Face Detection: A Survey0
CrossViT: Cross-Attention Multi-Scale Vision Transformer 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
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified