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 37513775 of 10420 papers

TitleStatusHype
SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model CommunicationCode1
Provably Learning Diverse Features in Multi-View Data with Midpoint MixupCode0
Revisiting Sparse Convolutional Model for Visual RecognitionCode1
Analyzing the Use of Influence Functions for Instance-Specific Data Filtering in Neural Machine Translation0
MetaFormer Baselines for VisionCode3
Drastically Reducing the Number of Trainable Parameters in Deep CNNs by Inter-layer Kernel-sharingCode1
Unsupervised Few-Shot Image Classification by Learning Features into Clustering SpaceCode1
Efficient Automatic Machine Learning via Design GraphsCode0
Imbalanced Classification in Medical Imaging via Regrouping0
Collaborative Image Understanding0
Boosting vision transformers for image retrievalCode1
Diffusion Visual Counterfactual ExplanationsCode1
Analysing Training-Data Leakage from Gradients through Linear Systems and Gradient MatchingCode0
G2NetPL: Generic Game-Theoretic Network for Partial-Label Image Classification0
Robustcaps: a transformation-robust capsule network for image classification0
Similarity of Neural Architectures using Adversarial Attack Transferability0
Standardized Medical Image Classification across Medical DisciplinesCode1
Visual-Semantic Contrastive Alignment for Few-Shot Image Classification0
Iterative collaborative routing among equivariant capsules for transformation-robust capsule networks0
TTTFlow: Unsupervised Test-Time Training with Normalizing FlowCode1
Sustainable Personalisation and Explainability in Dyadic Data Systems0
DGSSC: A Deep Generative Spectral-Spatial Classifier for Imbalanced Hyperspectral ImageryCode1
Efficient, probabilistic analysis of combinatorial neural codes0
Training set cleansing of backdoor poisoning by self-supervised representation learning0
A Unified View of Masked Image ModelingCode0
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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